A C-shaped arm for use with a medical imaging system includes a C-shaped portion, a radiation source carried by the C-shaped portion, a radiation detector carried by the C-shaped portion, and a pair of guide rails secured to opposed sides of the C-shaped portion, wherein each of the pair of guide rails has a body formed of a lightweight material and including a pair of rod channels formed therein and a pair of rods engaged within the pair of rod channels. The body can be formed by extruding the lightweight material into a unitary structure for the body with the pair of rods engaged at least partially within the pair of rod channels using an interference fit either prior to or after bending the body into the desired curved shape for the guide rail.
An acoustic window including a convex surface that extends in an azimuth direction and contacts an examination target, and a first wall portion and a second wall portion that extend divergently from each other. At least a portion of the first wall portion is provided along an inner surface of the probe case, and the second wall portion has an outer surface that is contiguous with the convex surface.
G01N 29/06 - Visualisation of the interior, e.g. acoustic microscopy
G01N 29/22 - Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic wavesVisualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object Details
3.
SYSTEM, METHOD AND/OR COMPUTER READABLE MEDIUM FOR AN IMPROVED INSTRUMENT GUIDANCE APPROACH IN ULTRASOUND IMAGING
An ultrasound imaging system includes a probe with a head having a first width along a long axis and a transducer array at the probe head and having a second width along the long axis, wherein the first width is greater than the second width, and the transducer array is configured to generate an electrical signal indicative of received echoes. The ultrasound imaging system further includes a beamformer configured to generate a sector shaped image based on the electrical signal, an image enhancer configured to generate a graphical vertical trajectory corresponding to a vertical line from an end of the head into the sector shaped image, and a display configured to display the graphical vertical trajectory superimposed over the sector shaped image to visually distinguishes a first region of the image projecting directly under the head from a second region of the image not projecting directly under the head.
Systems/techniques that facilitate aberrant image synthesis via truncated reverse-diffusion are provided. In various embodiments, a system can access a scanned medical image depicting an anatomical structure of a medical patient. In various aspects, the system can generate, via a diffusion neural network executed in a truncated reverse-diffusion process beginning at an intermediate level of noise rather than full noise, a synthetic version of the scanned medical image, wherein the synthetic version of the scanned medical image can depict the anatomical structure exhibiting a foreign object.
Systems are provided a heat transfer bolted joint of an X-ray detector module. The heat transfer bolted joint includes a first surface comprising an alignment protrusion, a first alignment datum vertically extending from the alignment protrusion, a first bolt hole passing through the alignment protrusion, a compressible metal washer circumferentially surrounding the alignment protrusion and in direct face-sharing contact with the first surface, and a second surface including a second alignment datum adapted to mate to the first alignment datum, and a second bolt hole passing through the second surface. The second surface is in direct face-sharing contact with the compressible metal washer and with the alignment protrusion.
Various systems are provided for a cathode of an X-ray imaging system. In one example, a shield assembly for a cathode comprises a first shield part and a second shield part, the first shield part and the second shield part spaced apart such that the first shield part and the second shield part are not in direct physical contact.
Systems for positioning a patient for medical imaging are described. In one example a system for positioning a patient includes table for an imaging system having a patient cradle, and a patient positioning mat. The patient positioning aid is coupled to the patient cradle. The patient positioning aid includes an adhesive material on which a patient is positioned.
A system and method for stimulating a uterine muscle of a maternal patient after childbirth includes operating a plurality of surface electrodes configured to be disposed on an abdomen of a maternal patient and a stimulator connected to at least two of the plurality of surface electrodes and configured to generate stimulation pulses between at least two of the plurality of surface electrodes. A control system is configured to control the stimulator to deliver a plurality of stimulation pulses via the plurality of surface electrodes to the maternal abdomen to stimulate the uterine muscle of the maternal patient, such as to cause uterine shrinkage after childbirth.
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
9.
SYSTEM AND METHOD FOR A LIDAR GUIDED PATIENT POSITIONING APPARATUS FOR A COMPUTED TOMOGRAPHY SYSTEM
A system and method for a lidar guided patient positioning are described. An example imaging system includes a gantry having a bore, a table to move a subject relative to the bore, a radiation source mounted on the gantry and to emit an X-ray beam, and a detector to detect the X-ray beam. The system further includes a light detection and ranging (LiDAR) scanning system to acquire data of the subject. The system further includes processing circuitry to process the LiDAR data to generate a 3D point cloud representing a topography of the subject, estimate a center of a region of interest of the subject, calculate an offset of the center of the region of interest relative to an isocenter of the gantry, and adjust a height of the table based on the offset to align the center of the region of interest with the isocenter of the gantry.
A method and system for monitoring a patient for postpartum hemorrhage (PPH) is configured to receive PPH factor information for the patient, wherein the PPH factor information includes at least two of the following: ultrasound data generated based on one or more abdominal ultrasound images of the patient obtained in a measurement period, electromyography (EMG) data obtained during the measurement period from abdominal electrodes on the patient, cardiac measurement data obtained from the patient during the measurement period, and a uterine health indicator for the patient. The system and method are configured to process the PPH factor information to determine a PPH probability index indicating a probability that the patient will develop PPH and a PPH severity index predicting a severity of PPH, and generate a PPH risk index for the measurement period based on the PPH probability index and the PPH severity index.
A system for monitoring and stimulating uterine muscles includes a plurality of surface electrodes configured to be disposed on an abdomen of a maternal patient and a control system. The control system is configured to obtain electromyography (EMG) data via the plurality of surface electrodes, detect at least one indicator of insufficient uterine activity based on the EMG data, and generate stimulation pulses between at least two of the plurality of surface electrodes in response to detecting the at least one indicator of insufficient uterine activity.
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
Various systems are provided for a cathode of an X-ray imaging system. In one example, a shield for a cathode comprises a cathode mask comprising a u-shaped central opening configured to receive a cathode cup, where a perimeter of the u-shaped central opening comprises a rolled over edge.
G01N 23/04 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material
A system and method for supporting calibration of an X-ray imaging system, wherein the X-ray imaging system comprises a multi-bin photon counting X-ray detector having multiple energy bin thresholds. The method includes performing a set of X-ray attenuation measurements or measurement scans of at least one object, using different settings of the energy bin thresholds and obtaining information about material composition related to the object(s). The method further includes determining, for each X-ray attenuation measurement or measurement scan, a value of at least one performance metric related to the X-ray imaging system and selecting a custom set of energy bin thresholds based on the determined values of the performance metrics over the set of X-ray attenuation measurements or measurement scans. Also, the method includes determining calibration data coupling the selected custom set of energy bin thresholds to at least the information about material composition.
A medical device includes a memory encoding processor-executable routines. The medical device also includes a processing system including one or more processors and is configured to access the memory and to execute the processor-executable routines, wherein the routines, when executed by the processing system, cause the processing system to perform actions. The actions include utilizing an autonomous self-healing agent framework, via generative artificial intelligence based reasoning, to detect an issue with the medical device, to locate an appropriate fix for the issue, and to implement the appropriate fix to resolve the issue.
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
15.
MODEL-BASED DEEP LEARNING METHOD AND SYSTEM FOR DENOISING MAGNETIC RESONANCE IMAGES
A computer-implemented method includes obtaining, via a processing system including one or more processors, noisy k-space data of a subject acquired with a magnetic resonance imaging (MRI) scanner. The computer-implemented method also includes utilizing, via the processing system, a deep learning-based mask estimating model to estimate a data consistency mask based on a frequency content of the noisy k-space data, wherein the data consistency mask is configured to be utilized in denoising the noisy k-space data in a model-based deep learning manner. The computer-implemented method further includes utilizing, via the processing system, a deep learning-based reconstruction model on the noisy k-space data to generate a reconstructed denoised image utilizing the data consistency mask.
A method for segmenting a moving anatomical structure includes: determining a contour of a first boundary; establishing a plurality of landmark groups extending outwardly from the first boundary towards a second boundary, each of the plurality of landmark groups includes a plurality of landmarks, each of the landmarks corresponds to a given anatomical region; tracking locations of each of the plurality of landmarks over time in cine ultrasound data to determine a motion characteristic for each of the plurality of landmarks; for each of the plurality of landmark groups, determining a difference between the motion characteristics of two adjacent landmarks to determine a corresponding transition point of the second boundary; and approximating the second boundary using the plurality of transition points.
According to an exemplary embodiment of the disclosure, an imaging system and method is provided for determining the need for generation of enhanced diagnostic images of a patient. The imaging system includes a radiation source operable at to emit radiation at multiple energy levels, a detector alignable with the radiation source, a controller operably connected to the radiation source and the detector to generate image data in an imaging procedure, and a computer aided detection (CAD) system configured to analyze initial projection images to locate any regions of interest (ROI) within the object. Upon locating analyzing one or more ROIs within the initial projection images, the system and method can determine imaging parameters to acquire one or more additional projection images of the object, and can process the one or more initial projection images and the one or more additional projection images to form one or more enhanced diagnostic images.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A61B 6/04 - Positioning of patientsTiltable beds or the like
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
18.
SCANNER FAULT PREDICTION VIA IMAGE-BASED DEEP LEARNING
Systems/techniques that facilitate scanner fault prediction via image-based deep learning are provided. In various embodiments, a system can access a medical image captured by a medical imaging scanner. In various aspects, the system can generate, via execution of at least one of one or more deep learning neural networks on the medical image, a failure classification label that indicates that the medical imaging scanner is afflicted by a first defined scanning failure from a plurality of defined scanning failures. In various instances, the system can transmit an electronic notification to a computing device associated with a technician of the medical imaging scanner, wherein the electronic notification can request that the medical imaging scanner be serviced to remedy the first defined scanning failure.
A61B 6/58 - Testing, adjusting or calibrating thereof
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
19.
SYSTEM AND METHOD FOR INTEGRATING ULTRASOUND IMAGING WITH AN ANESTHESIA SYSTEM
An anesthesia system includes a housing, a display system coupled to housing, and an ultrasound probe communicatively coupled to the anesthesia system. The anesthesia system includes a memory encoding processor-executable routines disposed within the housing. The anesthesia system includes a processing system disposed within the housing. The processing system includes one or more processors and is configured to access the memory and to execute the processor-executable routines, wherein the processor-executable routines, when executed by the processing system, cause the processing system to perform actions. The actions include receiving scan data of a subject receiving anesthesia therapy from the ultrasound probe. The actions also include receiving patient vital data representative of anesthesia monitoring parameters of the subject from sources of patient vital data or sensors. The actions further include displaying the anesthesia monitoring parameters and an ultrasound image derived from the scan data on the display system.
A61M 16/01 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes specially adapted for anaesthetising
A61M 16/00 - Devices for influencing the respiratory system of patients by gas treatment, e.g. ventilators Tracheal tubes
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
20.
MAGNETIC RESONANCE IMAGING METHOD AND MAGNETIC RESONANCE IMAGING SYSTEM
A magnetic resonance imaging method and a magnetic resonance imaging system are provided. The method includes: determining a B1 maximum value of a radio-frequency (RF) field; adjusting a profile of an RF pulse according to the B1 maximum value; and generating and transmitting an adjusted RF pulse, acquiring a magnetic resonance signal, and reconstructing a magnetic resonance image according to the magnetic resonance signal.
Systems or techniques that facilitate camera-based deep learning prediction and guidance for medical imaging protocols are provided. In various embodiments, a system can infer, via execution of a first deep learning neural network, a prescribed imaging protocol that is to be performed by a medical imaging scanner on a medical patient. In various aspects, the system can infer, via execution of a second deep learning neural network on a preparation image or video of the medical patient that is captured by a camera associated with the medical imaging scanner, whether or not the medical patient is prepared for the prescribed imaging protocol. In various instances, the system can, in response to an inference that the medical patient is not prepared for the prescribed imaging protocol, initiate an electronic guidance action that explains or shows how to make the medical patient prepared for the prescribed imaging protocol.
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
22.
ULTRASOUND IMAGING PROBE WITH A TRANSDUCER ARRAY WITH A SHEAR-WAVE-MITIGATED COMPOUND LENS
An ultrasound imaging probe includes a backing layer, an acoustic stack with an interconnect coupled to the backing layer, a transducer array electrically coupled interconnect and including at least one transducer element with a transducing surface and at least one matching layer with a first side acoustically coupled to the transducing surface and a second opposing side, a compound lens including an inner lens with a planer inner side acoustically coupled to the second opposing side of the matching layer and a first non-flat side that is non-flat in elevation and wavy at least in azimuth and an outer lens with an outer side configured to contact a subject or object, and a second non-flat side that is non-flat in elevation and wavy at least in azimuth, wherein the first non-flat side of the inner lens is acoustically coupled to the second non-flat side of the outer lens.
SYSTEM AND METHOD FOR SELECTION OF REFERENCE IMAGES FOR USE IN DETECTING AND TRACKING ARRIVAL OF CONTRAST BOLUS IN CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING
For a given MR image having an anatomical landmark and a frame of reference, a method includes automatically selecting one or more series of MR images from a plurality of series of MR images previously acquired and having the anatomical landmark and the frame of reference. The method includes automatically selecting one or more candidate groups from the one or more series of MR images that were selected, wherein selection of the one or more candidate groups is based on predetermined rules. The method includes automatically selecting a respective reference image from each candidate group, wherein selection of each respective reference image is based on the predetermined rules. The method further includes automatically displaying the respective reference image selected for each candidate group, wherein each respective reference image is displayed in reference viewports on a user interface on a display based on the predetermined rules.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
Systems and methods are provided for increasing a quality of computed tomography (CT) images. In one embodiment, a computed tomography (CT) detector system comprises a layer of energy integrating detectors (EID) arranged below a layer of photon counting (PC) sensors with respect to an incoming x-ray, where a number of the PC sensors exceeds a number of the EID detectors; and an image processing unit configured to correct PC data using EID data, and denoise and increase a resolution of an image reconstructed from EID data and PC data using a deep learning convolutional neural network (CNN) trained on pairs of images, each pair of images including a target image reconstructed from a first signal from the layer of PC sensors, and an input image reconstructed from a second signal from the layer of EID detectors, the EID data and PC data acquired concurrently from a same patient ray path.
Various systems and methods are provided for determining information related to cardiac deformation of a region of interest of a heart of a subject using deformation imaging based on a delineation of the cardiac cycle of the heart of the subject determined from imaging data. The imaging data of the region of interest of the heart of the subject may be received. A set of mechanical events of the heart of the subject may be detected based on analyzing the imaging data. The delineation of the cardiac cycle may be determined based on the set of mechanical events of the heart of the subject. The information related to cardiac deformation of the region of interest of the heart of the subject may be determined using deformation imaging based on the delineation of the cardiac cycle. The information related to cardiac deformation of the region of interest may be displayed.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a clinical protocol-based federated learning process. For example, a system can comprise a memory that can store computer executable components. The system can further comprise a processor that can execute at least one of the computer executable components that can select, according to a selection criterion applicable to at least one medical facility, a first artificial intelligence (AI) model from a repository comprising a plurality of AI models, deploy the first AI model at the at least one medical facility, access feedback comprising updated parameters of the first AI model generated at the at least one medical facility, and further deploy a second AI model based on the updated parameters and a clinical protocol employed by the at least one medical facility.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Systems/techniques that facilitate automatic product support systems and methods via generative artificial intelligence (GAI) and customer interactions are provided. In various embodiments, a system can access an electronic interaction record pertaining to a software product. In various aspects, the system can synthesize, via execution of GAI on the electronic interaction record, first text that describes a problem afflicting the software product. In various instances, the system can determine, based on executing the GAI on the first text, whether there is an available software feature in an available software feature repository that addresses or solves the problem. In various cases, the system can, in response to a determination that there is no available software feature that addresses or solves the problem, synthesize, via execution of the GAI on the first text, a recommended design alteration to the software product that would address or solve the problem.
According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.
A system and method for determining, by a rule-based ECG analysis model, a diagnosis of an ECG using criteria extracted by an AI model are provided. An ECG may be received by the rule-based ECG analysis model. Features of the ECG may be determined by the rule-based ECG analysis model. The diagnosis may be determined by the rule-based ECG analysis model using the features of the ECG and the criteria extracted by the AI model. The diagnosis may be transmitted.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A computer-implemented method for performing a scan of a subject utilizing a medical imaging system includes acquiring, via a processing system including one or more processors, a series of images of a region of interest of a subject utilizing the medical imaging system. The computer-implemented method also includes automatically identifying, via the processing system, one or more anatomical features in the region of interest in the series of images. The computer-implemented method further includes automatically refining, via the processing system, the one or more anatomical features for use in generating a prescription for a subsequent scan of the region of interest with the medical imaging system. The refining of the one or more anatomical features is based on a consistency in position for the one or more anatomical features identified.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G06V 10/40 - Extraction of image or video features
A medical imaging system includes an X-ray source configured to emit X-rays. The medical imaging system also includes a high voltage generator configured to provide power to the X-ray source. The medical imaging system further includes a high efficiency power distribution unit configured to receive electrical power from an electrical grid and to store the electrical power, wherein the high efficiency power distribution unit includes an active rectifier configured to regulate a high voltage direct current outputted to components of the medical imaging system including the high voltage generator.
Systems/techniques that facilitate automatic product support systems and methods via generative artificial intelligence (GAI) and customer interactions are provided. In various embodiments, a system can access an electronic interaction record pertaining to a software product. In various aspects, the system can synthesize, via execution of GAI on the electronic interaction record, first text that describes a problem afflicting the software product. In various instances, the system can determine, based on executing the GAI on the first text, whether there is an available software feature in an available software feature repository that addresses or solves the problem. In various cases, the system can, in response to a determination that there is no available software feature that addresses or solves the problem, synthesize, via execution of the GAI on the first text, a recommended design alteration to the software product that would address or solve the problem.
Systems/techniques that facilitate automatic product support systems and methods via generative artificial intelligence (GAI) and customer interactions are provided. In various embodiments, a system can access an electronic interaction record pertaining to a software product. In various aspects, the system can synthesize, via execution of GAI on the electronic interaction record, first text that describes a problem afflicting the software product. In various instances, the system can determine, based on executing the GAI on the first text, whether there is an available software feature in an available software feature repository that addresses or solves the problem. In various cases, the system can, in response to a determination that there is no available software feature that addresses or solves the problem, synthesize, via execution of the GAI on the first text, a recommended design alteration to the software product that would address or solve the problem.
An integrated gantry structure of a computed tomography (CT) imaging system includes a rotating component configured to couple to imaging components. The rotating component includes a drive mechanism integrated on the rotating component configured to drive rotation of the rotating component and the imaging components in response to a driving force, wherein the drive mechanism includes drive teeth. The integrated gantry structure also includes a stationary component configured to support the rotating component. The integrated gantry structure further includes a bearing disposed between the rotating component and the stationary component, wherein the bearing couples the rotating component to the stationary component.
Methods and systems are provided for adaptively configuring time delays between scans of a scan sequence performed using an imaging system, to maintain a temperature of components of an X-ray tube of the imaging system within a threshold temperature. A software tool is provided that allows a user to import, modify, and/or create scan sequence protocols (e.g., such as image quality (IQ) protocols) using a dedicated graphical user interface (GUI). The software tool parses the scan sequence protocols, using a thermal physics model of the X-ray tube to calculate a plurality of adaptive delays to be inserted between each scan of the scan sequence, such that all the components of the tube stay within predefined thermal limits for robust IQ or within a thermal range typical of a clinical site's thermal operating range. Each adaptive delay may be of a different length of time.
Embodiments of a method for calibrating an imaging system are disclosed herein. In one example, the method includes generating a detector response prediction for one or more composition features of a non-uniform phantom, scanning the non-uniform phantom at a plurality of positions between an X-ray source and a detector of the imaging system, measuring an actual detector response at each position, generating a correction factor based on the detector response prediction and adjusting one or more calibration algorithms based on the correction factor.
A magnetic resonance imaging method and a magnetic resonance imaging system is provided. The method includes: adjusting a waveform of a gradient pulse in a scan sequence according to a signal acquisition time window, wherein the signal acquisition time window at least includes at least part of the gradient rise and gradient fall times of the gradient pulse; and generating and transmitting a scan sequence with an adjusted waveform, acquiring a magnetic resonance signal in the signal acquisition time window, and reconstructing a magnetic resonance image according to the magnetic resonance signal.
An ultrasound system includes a flexible substrate configured to be maintained on an abdomen of a maternal patient, an transducer array disposed on the flexible substrate and configured to acquire scan data, and a control system. The transducer array comprises a plurality of transducer elements spread across a transducer area sized to image an entire uterus of the maternal patient. The control system is configured to operate the transducer array to acquire the scan data for the entire uterus of the maternal patient at predetermined intervals and generate a uterus image of the entire uterus based on the scan data.
Systems and methods are provided for an ultrasound system. An ultrasound system includes an ultrasound probe, a holder in which the ultrasound probe is positioned when the ultrasound system is not in an active use state, and a processor communicatively coupled to a display and a user interface. The processor includes instructions stored on non-volatile memory, that when executed cause the processor to determine an operating state of the ultrasound system and in response to determining the operating state is not the active use state, automatically determine by image analysis if a probe face of the ultrasound probe is clean, and in response to determining the probe face is not clean, perform a processor operation to indicate the probe face is not clean.
Embodiments of a phantom for calibrating an imaging system are disclosed herein. In one example, a phantom for an imaging system includes a base comprised of a first material, a plurality of layers positioned on the base, each layer of the plurality of layers comprised of the first material or one or more additional materials, and a plug coupled to a front face of the base and the plurality of layers, the plug configured to couple to an accessory slot of a patient table of the imaging system.
Aa calibration method for a medical imaging system and a medical imaging system includes: obtaining a first image including a reference object and a scanned subject, and determining a first distance according to the first image. The first distance includes a distance from at least one point of the scanned subject to the reference object. The method further includes moving the scanned subject to a preset position according to the first distance and a second distance from the reference object to the preset position; and calibrating a parameter of the medical imaging system by using the scanned subject at the preset position.
Systems or techniques that facilitate medical image privacy preservation via image synthesis and filtration are provided. In various embodiments, a system can access a medical image for which a first artificial neural network has produced an inferencing task result. In various aspects, the system can train a second artificial neural network on the medical image to perform image synthesis. In various instances, the system can generate, via execution of the second artificial neural network post-training, a set of synthetic variants of the medical image. In various cases, the system can fine-tune the first artificial neural network using at least some of the set of synthetic variants of the medical image rather than using the medical image.
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G06T 11/60 - Editing figures and textCombining figures or text
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
51.
COMPUTED TOMOGRAPHY (CT) IMAGING SYSTEM GANTRY MOTION DETECTION
A computed tomography imaging system includes a gantry and a rotating frame rotatably supported in the gantry and carrying at least one component for producing, transmitting or receiving X-ray radiation, a first motion sensor configured to sense a first motion of the gantry in a first plane and generate a first signal indicative of the first motion and that has a first noise floor, a second motion sensor configured to concurrently sense the first motion of the gantry in the first plane and generate a second signal indicative of the first motion and that has a second noise floor, and motion signal processing circuitry configured to combine the first signal and the second signal to generate a first combined signal indicative of the first motion, wherein the first combined signal has a third noise floor that is lower than the first noise floor and the second noise floor.
A medical imaging probe including a housing; a scanning head, movably disposed within the housing, the scanning head including: a movable transducer module, a transducer array and a backing, there being a gap between the transducer array and a contact surface of the housing, a base coupled to the transducer module and disposed opposite the transducer array, an electromagnet disposed on one of the transducer module and the base, and a magnetic attraction material disposed on the other of the transducer module and the base; and a sensor, the sensor being configured to sense an acceleration state of the medical imaging probe exceeding a threshold. In response to the sensor sensing the acceleration state, the electromagnet is energized to attract the magnetic attraction material, to cause the transducer module to be proximate to the base and the gap between the transducer array and the contact surface to increase.
A method includes accumulating counts for each pixel in a set of pixels of one or more gamma cameras of a SPECT imaging system from a plurality of imaging examinations and each energy peak of each isotope used in the plurality of imaging examinations to produce an energy spectrum for each of the pixels at each of the energy peaks of each of the isotopes, determining, for the pixels and for the energy peaks, an energy calibration factor that converts an energy detected by each of the pixels to an energy of a corresponding energy peak and populating an energy map with the factors, and determining, for the pixels and for the energy peaks, a uniformity calibration factor that converts a number of counts detected by each of the pixels to a predetermined number of counts for a corresponding energy peak and populating a uniformity map with the factors.
Systems and methods for enhancing visualization of blood flow ultrasound imaging with glyphs presented in a hexagonal packing arrangement are provided. The method includes transmitting, by an ultrasound probe, ultrasound beams into a region of interest. The method includes converting, by the ultrasound probe, received echoes to generate ultrasound signals corresponding to the ultrasound beams. The method includes processing, by a receive beamformer, the ultrasound signals to generate beamformed signals. The method includes processing, by at least one processor, the beamformed signals to generate an ultrasound image. The method includes processing, by the at least one processor, the beamformed signals to generate velocity information of the region of interest. The method includes causing, by the at least one processor, a display system to present the ultrasound image overlaid with glyphs generated from the velocity information of the region of interest. The glyphs are presented in a hexagonal packing arrangement.
Various methods and systems are provided for an imaging subject support system for an imaging system. The imaging subject support system may be a cradle clamping holder comprising: a platform; at least one leveling member, each of which includes at least one rod; a coupling clamp that is coupled to the platform at a first end of the platform, and where the coupling clamp is adjustable between a first position and a second position; and an attachment plate configured to support an imaging subject, the attachment plate directly or indirectly coupled to the platform at a second end of the platform, opposite the first end.
Systems or techniques that facilitate global and local search-based classification of text are provided. In various embodiments, a system can access a new medical order associated with a medical patient. In various aspects, the system can compute: one or more global vector representations of the new medical order; and one or more local vector representations for respective ones or combinations of a set of textual sections that make up the new medical order, thereby yielding a set of local vector representations of the new medical order. In various instances, the system can identify a new classification label for the new medical order, based on searching an historical order-label database using both the set of global vector representations and the set of local vector representations.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
57.
Smart Mammography Image Acquisition System and Method
According to an exemplary embodiment of the disclosure, an imaging system and method is provided for determining the need for generation of enhanced diagnostic images of a patient. The imaging system includes a radiation source operable at to emit radiation at multiple energy levels, a detector alignable with the radiation source, a controller operably connected to the radiation source and detector to generate image data in an imaging procedure, and a computer aided detection (CAD) system configured to analyze low energy (LE) images to locate regions of interest (ROI) and/or other triggering attributes, characteristics or findings within the object. Upon locating one or more triggering attributes, characteristics or findings within the LE images, the system and method can acquire one or more high energy (HE) images of the object, and can process the one or more LE images and the one or more HE images to form enhanced diagnostic images.
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/04 - Positioning of patientsTiltable beds or the like
A system includes a thermocycling assembly configured to perform thermocycling for a digital polymerase chain reaction (PCR). The thermocycling assembly includes a flat thermal plate having a first side configured to contact and to thermally interface with a flat digital PCR cartridge including thousands of chambers for samples. The thermocycling assembly also includes a heat sink disposed beneath the flat thermal plate including an internal liquid conduit. The thermocycling assembly further includes thermal electric cooling elements disposed between the flat thermal plate and the heat sink, wherein the thermal electric cooling elements are configured to regulate a temperature of the flat thermal plate during the thermocycling. The thermocycling assembly even further includes a liquid cooling system coupled to the heat sink and configured to flow a liquid through the internal liquid conduit to facilitate rapid cooling of the flat thermal plate during thermocycling.
Systems or techniques that facilitate medical image privacy preservation via image synthesis and filtration are provided. In various embodiments, a system can access a medical image for which a first artificial neural network has produced an inferencing task result. In various aspects, the system can train a second artificial neural network on the medical image to perform image synthesis. In various instances, the system can generate, via execution of the second artificial neural network post-training, a set of synthetic variants of the medical image. In various cases, the system can fine-tune the first artificial neural network using at least some of the set of synthetic variants of the medical image rather than using the medical image.
Systems and methods are provided for real-time multimodal deformable image registration for image-guided interventions. A pre-interventional three-dimensional (3D) magnetic resonance imaging (MRI) image and multiple 3D ultrasound (US) images capturing various respiratory states and poses are acquired for a patient. The MRI image is registered to each US image using a trained MR-US deformation model, producing deformed MRI images. During intervention, an interventional 3D US image is acquired and registered to a pre-interventional US image using a trained US-US deformation model, determining a warp field. This warp field is applied to the corresponding deformed MRI image, producing a registered 3D MRI image for visualizing annotated tissue features from the pre-interventional MRI on the live interventional US image. The disclosed approach leverages multimodal imaging and deep learning models to enhance visualization during interventions by combining superior soft tissue contrast of MRI with real-time US imaging capabilities.
The subject matter of the present disclosure generally relates to techniques for applying focused ultrasound energy to a region of interest in a subject to induce neuromodulation of the celiac plexus to treat inflammatory bowel disease. The region of interest may include at least a portion of a peripheral ganglion of the celiac plexus.
Systems and methods are herein provided for a radiation detector with rectangular pixels. In one example, an x-ray imaging system comprises a pixel array of a flat panel detector comprising a plurality of pixels with a rectangular pixel pitch arranged in pairs, wherein each of the plurality of pixels is configured to generate respective image data signals, wherein in low-dose applications, TFT control lines of pixels in each pixel pair are energized simultaneously to generate signals with an effective pixel pitch of twice the rectangular pixel pitch and in high-dose applications, TFT control lines of pixels in each pixel pair are energized sequentially and the detector is translated during image acquisition for an effective pixel pitch of half the rectangular pixel pitch.
An airway adapter for gas measurement by a mainstream gas analyzer, the airway adapter including a body configured to connect in-series with a ventilation circuit, the body including an inner surface providing a conduit which extends through the body to provide a flow path for the ventilation gas to pass between a first end and a second end of the adapter, wherein opposing sides of a central portion of the inner surface protrude inward to provide a narrowed section, the narrowed section comprising an upper measurement chamber and a lower fluid channel; and at least two windows provided in the body at the measurement chamber, the at least two windows configured to pass radiation for measuring gas within the measurement chamber. The inner surface of the airway adapter is configured to direct fluid away from the measurement chamber and into the fluid channel.
The subject matter of the present disclosure generally relates to techniques for neuromodulation that include applying energy (e.g., ultrasound energy) into the tissue to cause a change in a glucose transporter pathway molecule and/or an incretin pathway molecule. In one embodiment, the neuromodulation is performed as a treatment of a metabolic disorder.
Systems or techniques that facilitate aggregation of models in the form of federated loss functions for building a central machine learning model via federated training are provided. In various embodiments, a system can aggregate at least one trained machine learning model in connection with a respective healthcare institution. In various aspects, the system can update parameters of a central machine learning model based on an optimization of a federated loss function computed from the at least one trained machine learning model, wherein the federated loss function comprises a federated error and a base loss. In various cases, the system can share the central machine learning model after updating the parameters based on the optimization of the federated loss function with the at least one trained machine learning model.
Various methods and systems are provided an ultrasound device. In one example, a method for ultrasound imaging comprises alternating positive and negative polarity transmits fired from an ultrasound probe at different locations.
Systems and methods are disclosed for calibrating imaging devices through analytical correction of Channelized Hotelling Observer (CHO) metrics. The disclosed method corrects both finite-sample bias and residual no-signal bias in a single correction step, enhancing the calibration of medical imaging devices. The correction is based on the median of the noncentral F cumulative distribution function applied to the uncorrected d′ value. This approach provides a more accurate and reliable d′ value than conventional methods, which typically address only one type of bias and rely on statistical estimation of correction factors. The disclosed method is computationally efficient, rapidly computed without processing a large number of images. This enables faster and more accurate calibration of imaging system devices, facilitating improved performance and potentially enhancing diagnostic capabilities in medical imaging applications. The method can be applied to various imaging modalities, including CT, MRI, and X-ray systems.
A system and a method include obtaining, at a processor, a clinical task for a scan of a subject with a computed tomography imaging system. The systems and method also include obtaining, at the processor, scanning parameters for the scan. The system and method further include automatically determining, via the processor, reconstruction matrix parameters for generating a reconstructed image from tomographic data obtained of the subject with the scan based at least on the clinical task and the scanning parameters.
An ultrasound imaging system includes a transmit circuit configured to generate ultrasound element excitation pluses based on an acquisition mode that includes at least two different types of ultrasound acquisitions for a single ultrasound imaging scan, a transducer array with elements configured to transmit ultrasound pressure waves based on the at least two different types of ultrasound acquisitions, and receive, for each of the at least two different types of ultrasound acquisitions, a corresponding echo signal, a beamformer configured to independently beamform the echo signals for the at least two different types of ultrasound acquisitions, an image generator configured to generate an image for each of the at least two different types of ultrasound acquisitions based on the corresponding echo signal, and a display configured to concurrently display the images for each of the at least two different types of ultrasound acquisitions.
Provided in embodiments of the present application are a detector identification apparatus and a medical imaging system. The detector identification apparatus includes: a marking module associated with a detector and including at least one magnetic block; and an identification module that senses the magnetic block and generates marking information of the detector according to a sensing result.
A magnetic resonance system transport apparatus and a magnetic resonance system transport method are provided. The apparatus includes an integrated container body, in which a compressor and a cooling system are provided. The compressor is connected via a cooling pipe to a cold head of a magnetic resonance system arranged outside the integrated container body, so as to supply cooling capacity to the cold head. The cooling system is used to perform heat exchange with the compressor in the integrated container body, so as to perform refrigeration on the compressor.
G01R 33/38 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
G01R 33/3815 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using electromagnets with superconducting coils, e.g. power supply therefor
75.
SYSTEMS AND METHODS FOR AI-POWERED PATIENT MONITORING
Methods and systems are proposed that integrate real-time data analysis, adaptive alert thresholds, multimodal caregiver feedback, and data labeling to continuously refine alert generation models relied on by patient monitoring systems. The proposed approach enhances the effectiveness of AI-powered patient monitoring systems by addressing the challenges of inaccurate data labeling and high false alert rates. To minimize false alerts, caregivers are provided with an easy-to-use feedback tool to confirm receipt of alerts, categorize alerts as true or false positives, and provide contextual information. This caregiver-provided information is then analyzed, and criteria may be extracted from the information that may be used to retrain or refine the alert generation models.
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Methods and systems are provided for preventing hot landings of a motor of an X-ray imaging system in the event of a power loss. In an example, a method for an X-ray tube of an imaging system includes, during a scan of a subject with the imaging system, supplying energy from a main power supply to the X-ray tube in order to rotate a target of the X-ray tube, selectively recovering energy from the X-ray tube and storing the recovered energy in an energy storage circuit of the imaging system, and detecting a loss of the main power supply, and in response, supplying energy from the energy storage circuit to the X-ray tube in order to rotate the target at a threshold speed.
Methods and systems are herein provided for multi-date, multi-modality imaging display. In one example, a method for displaying multiple images in a graphical user interface (GUI) comprises obtaining one or more medical images and findings data thereof from a database; time ordering the obtained one or more medical images and findings data thereof; and displaying the one or more medical images and at least one corresponding findings data in respective viewports of the GUI based on a selected GUI configuration, wherein the one or more medical images are comparable images.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
78.
METHODS AND SYSTEMS FOR AUTOMATED SATURATION BAND PLACEMENT
Methods and systems are provided for automatic placement of at least one saturation band on a medical image, which may direct saturation pulses during a MRI scan. A method may include acquiring a localizer image of an imaging subject, determining a plane mask for the localizer image by entering the localizer image as input to a deep neural network trained to output the plane mask based on the localizer image, generating a saturation band based on the plane mask by positioning the saturation band at a position and an angulation of the plane mask, and outputting a graphical prescription for display on a display device, the graphical prescription including the saturation band overlaid on the medical image.
A method includes transmitting an ultrasound signal, with an ultrasound probe, in a cavity of an object, receiving an echo signal, with the ultrasound probe, generating an image of an interior of the cavity, including a region of interest in the cavity, based on the echo signal, receiving a first signal from a first tracking sensor of the ultrasound probe, receiving a second signal from a second tracking sensor at a cannula disposed in a wall of the object, receiving a third signal from a third tracking sensor of a medical device, wherein part of a shaft of the medical device is in the cannula and an instrument disposed at an end region of the part of the shaft is in the cavity, and processing the first, second and third signals to estimate a first location of the instrument in the cavity relative to the region of interest.
Methods and systems are provided for calibrating a photon counting computed tomography (PCCT) system. To reduce an amount of calibration data stored in a memory of the PCCT system, and to reduce a time spent calibrating the PCCT system, a method is provided for using a material decomposition (MD) calibration vector generated for a first focal spot size to correct projection data acquired using the PCCT system at different focal spot sizes. To compensate for spectral differences due to focal spot size, the projection data is corrected and normalized by air calibration vectors generated for each different focal spot size.
An ultrasound diagnostic device configured to compare, with a threshold value, a pixel value of each pixel included in an ultrasound image; determine the total number of pixels obtained for the ultrasound image of the current time point as a peak value; set a time window, and calculating a change amount at the current time point in the peak value; calculate an index value of a current time point representative of the change amount at the current time point with respect to the peak value of the current time point; determine whether the current time point is an initial arrival time of a contrast agent; and repeatedly execute the process of counting the total number of pixels.
An ultrasonic probe, including an ultrasonic transducer; a metal inner housing that is thermally connected to the ultrasonic transducer; and a magnetic flux line generator disposed at a position at least partially surrounded by the inner housing and having a first pole and a second pole, wherein the inner housing comprises a magnetic flux line-passing structure that allows passage of magnetic flux lines from the first pole back to the second pole.
Provided in embodiments of the present application are a lifting platform and a medical device. The lifting platform includes: a base; a support table disposed on an upper side of the base; a support assembly connecting the support table and the base and driving the support table to lift; a locking assembly including a body member connected to the support assembly and a blocking member movably mounted on the body member, wherein the blocking member prevents movement of the support assembly when moving to a first position abutting against the base; and a lock status switching member detachably connected to the locking assembly, wherein the blocking member moves to the first position when the lock status switching member is removed from the locking assembly.
A maternal and fetal monitoring system comprises a first ultrasound transducer configured to be positioned on a maternal patient abdomen to acquire fetal ultrasound measurements of a fetus, the first ultrasound transducer housed in a first housing; a maternal measurement patch configured to be secured on the maternal abdomen and to obtain UA physiological measurements indicative of uterine activity (UA) of the maternal patient; a connection cable connecting the maternal measurement patch to the first housing and configured to transmit the UA physiological measurements from the maternal measurement patch; and a controller configured to determine fetal heart rate (fHR) values for the fetus based on the fetal ultrasound measurements and to determine UA values for the maternal patient based on the UA physiological measurements.
A computed tomography imaging system includes a gantry. The computed tomography imaging system further includes a rotating frame rotatably supported in the gantry. The rotating frame includes an X-ray source configured to emit X-ray radiation that traverses an examination region and an X-ray radiation sensitive detector disposed opposite the X-ray source across the examination region and configured to detect X-ray radiation traversing the examination region and generate a signal indicative of the detected X-ray radiation. The computed tomography imaging system further includes at least one component of the gantry or the rotating frame that produces audible noise. The computed tomography imaging system further includes an audible noise reducer configured to reduce the audible noise. The audible noise reducer includes a resonator tuned to a first frequency of the audible noise.
A computed tomography imaging system includes a gantry and a rotating frame rotatably supported in the gantry. The rotating frame includes an X-ray source and an X-ray radiation sensitive detector. The computed tomography imaging system further includes a plenum configured to hold pressurized air and a cooling system. The cooling system includes a heat exchanger configured to transfer heat from a coolant cooling at least one component carried by the rotating frame and a fan system configured to move cool air from the plenum to the heat exchanger and move heated air away from the heat exchanger. The cooling system further includes at least one of an air intake assembly configured to provide an air intake path for the cool air to the heat exchanger and an air exhaust assembly configured to provide an air exhaust path for the heated air.
A wearable device is provided. The wearable device may include a mount including a spherical outer surface, and an opening configured to receive a probe. The wearable device may include a base comprising an inner circumferential surface that interfaces with the spherical outer surface of the mount to selectively rotate the mount about at least one axis of the base. The wearable device may include a lock that locks a position of the probe relative to the mount and that locks the probe at an orientation relative to the base.
Various systems and methods are provided for displaying a visual indicator that indicates a movement direction of an ultrasound probe relative to an ultrasound image. Ultrasound data corresponding to a scan plane of the ultrasound probe may be received. The ultrasound image corresponding to the scan plane of the ultrasound probe may be generated using the ultrasound data. The ultrasound image corresponding to the scan plane of the ultrasound probe may be displayed. A representation of the ultrasound probe that is oriented relative to the scan plane corresponding to the ultrasound image may be displayed. A movement direction of the ultrasound probe relative to the ultrasound image may be determined. The visual indicator indicating that movement direction of the ultrasound probe relative to the ultrasound image may be displayed.
Various methods and systems are provided for generating a fused image that includes image data captured by a first imaging system and a second imaging system, different from the first imaging system. For example, the method comprises; obtaining three-dimensional (3D) image data of an anatomical region of interest (ROI) of a patient; applying a multi-plane reformation (MPR) tool to the 3D image data to automatically select a slice of the 3D image data that includes the anatomical ROI and corresponds to a view of the anatomical ROI that is shown in a live x-ray image data; fusing the 3D image data with the live x-ray image data without use of a 3D viewer to generate a fused live image comprising 3D image data and live x-ray image data of the anatomical ROI; and outputting the fused live image for display and/or storage.
A smart power system and method to protect an X-ray tube of a CT imaging system during a power outage, the system and method comprising monitoring a remining amount of power from a backup power source supplied by an UPS coupled to a PDU that is providing power to the CT imaging system. The X-ray tube having a liquid metal bearing rotating assembly. The system and method automatically strategizing and determining where to supply the remaining amount of backup power to prevent a hot landing of the X-ray tube liquid metal bearing rotating assembly.
H05G 1/58 - Switching arrangements for changing-over from one mode of operation to another, e.g. from radioscopy to radiography, from radioscopy to irradiation
92.
DETECTOR SUPPORTING APPARATUS, MEDICAL IMAGING SYSTEM, AND MEDICAL IMAGING METHOD
Embodiments of the present application provide a detector supporting apparatus, a medical imaging system, and a medical imaging method. The detector supporting apparatus includes: a support frame, for carrying a detector; and a sliding and supporting part, for vertically supporting the support frame at an edge of a bed plate assembly of the medical imaging system and being capable of sliding in the direction of the edge of the bed plate assembly.
An ultrasonic probe including an ultrasonic transducer, a metallic inner housing thermally connected to the ultrasonic transducer, and a probe case surrounding the inner housing. The bond lines of the probe case and the bond lines of the inner housing are offset in height from each another.
The present invention relates to a shielding chamber for an accelerator and a construction method therefor, and a method for testing an accelerator. The shielding chamber includes a top wall, a circumferential wall, and a side door. The circumferential wall together with the top wall encloses an inner space, the circumferential wall is configured to have a lateral opening, and the lateral opening communicates with the inner space for the accelerator to enter the inner space through the lateral opening. The side door has a side door body, the side door body is configured to block the lateral opening of the circumferential wall and is movable in a first direction, and the first direction is perpendicular to a plane on which the lateral opening is located.
An ultrasonic diagnostic device including one or more processors for controlling operation of the ultrasonic diagnostic device for acquiring a second ultrasonic image of the same examination site as a first ultrasonic image based on an annotation added to the first ultrasonic image.
A pedal assembly, a control method therefor, and a medical imaging scanning bed assembly are described herein. The pedal assembly includes a pedal, having a first end portion close to an inner side of the pedal assembly in a first direction and a second end portion away from the inner side of the pedal assembly; a switch, connected to the pedal, and being in a triggered state when the pedal leaves a predetermined position in a second direction; a first sensor, detecting, via a through hole on a surface of the pedal, whether a first region of the surface of the pedal is obstructed; and a controller, outputting a control signal based on a detection result of the first sensor and a state of the switch. The present application can prevent unexpected movement of a mechanism, such as a scanning bed, caused by an operator mistakenly pressing the pedal.
A lifting platform of a medical device includes a base; a support platform, disposed on an upper side of the base; a support assembly, connecting the support platform and the base; a drive assembly, connected to the support assembly and driving the support assembly to move for lifting and lowering the support platform; a locking assembly, connected to the support assembly and used to lock movement of the support assembly; and a locking state switching assembly, detachably connected to the locking assembly to switch the locking assembly between a locked state and an unlocked state, wherein when the locking state switching assembly is connected to the locking assembly, the locking assembly is in an unlocked state, and the support assembly is capable of moving freely; and when the locking state switching assembly is separated from the locking assembly, the locking assembly is in a locked state, and movement is prevented.
The present application provides a method for acquiring bone density, an X-ray imaging system, and a storage medium. The method for acquiring bone density includes acquiring at least one X-ray image of a subject under examination using an X-ray imaging system, wherein the at least one X-ray image is a raw image or a medical image following image processing, and on the basis of a trained learning network, performing processing on the at least one X-ray image, and at least one of position of bone with abnormality, probability of abnormality, and prompt of abnormality, the result including at least one of T-score and classification of bone density, and the abnormality denoting that the T-score exceeds a threshold value range.
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
99.
METHODS AND SYSTEMS FOR AN INTEGRATED FILTER SYSTEM WITH TWO CARRIAGES
Various methods and systems are provided for integrated filter assemblies including a bowtie filter and a hardening filter mounted on a single carriage. In one embodiment, an imaging system may include an x-ray source to generate an x-ray beam, a pre-patient collimator positioned adjacent to the x-ray source such that the x-ray beam passes through the pre-patient collimator. The pre-patient collimator includes a carriage, and at least one filter coupled to one edge of the carriage and extending away from the carriage.
