Abstract

A method comprising (a) selecting a primary Study of a patient selected from a plurality of studies; (b) selecting as a ParameterA an anatomical characteristic and/or a disease-based characteristic in the primary study; (c) executing on a server digital data processor a render server program which applies one or more Study Selection Rules to (i) generate a list of a plurality of secondary studies based on ParameterA; (ii) generate from the list of the plurality of secondary studies one or more ImageContentBased parameters using Convolutional Neural Networks (CNN); (iii) select from the list of the plurality of secondary studies a final list based on the one or more ImageContentBased parameters; (d) executing on the server digital data processor the render server program which applies one or more Protocol Selection Rules to select a Display Protocol, where the one or more Protocol Selection Rules are based on two or more parameters selected from the group consisting of one or more DICOM parameters from the primary Study, one or more Abstract Tags from the primary Study, one or more DICOM parameters from the plurality of secondary studies, one or more Abstract Tags from the plurality of secondary studies and one or more ImageContentBased parameters; and (e) displaying the primary study and one or more of the plurality of secondary studies selected from the list based on the Display Protocol selected in step (d).

IPC Classes  ?

• G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

Digital Breast Tomosynthesis allows for the acquisition of volumetric mammography images. The present invention allows for novel ways of viewing such images.In an embodiment a method for displaying volumetric images comprises computing a projection image using a view direction, displaying the projection image and then varying the projection image by varying the view direction. The view direction can be varied based on a periodic continuous mathematical function. A graphics processing unit can be used to compute the projection image and bricking can be used to accelerate the computation of the projection images. In an embodiment of the present invention, users with the appropriate permission can launch a function inside a system in order to anonymize and export generated projection images based on Digital Breast Tomosynthesis, generated projection images based on other volumetric images, other currently loaded studies, or one or more studies identified by a search criteria. The data from the identified studies is then anonymized on the system. In an embodiment of the present invention, the data from selected studies is anonymized on a server, and only then transmitted to another network device or stored to a hard disk or other media.

IPC Classes  ?

• G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)