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US 2025/0029317 A1Published application
Method and system for rule based display of sets of images using image content derived parameters
AssigneePme IP Pty Ltd
InventorsMALTE WESTERHOFF, DETLEV STALLING
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Abstract
The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. The rules are based on meta data of the examination as well as image content that is being analyzed by neuronal networks. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.
Claims20
A method comprising:
- (A) receiving at a server a ParameterA and a ParameterB from a client computer, where the ParameterA is a name of a patient, where the ParameterB is a disorder or disease based characteristic of the patient, the client computer comprising a client digital data processor, the server comprising a server digital data processor;
- (B) executing a render server program on the server which selects one or more primary studies from a database based on the ParameterA;
- (C) executing the render server program on the server which applies one or more Study Selection Rules to generate one or more secondary studies from the one or more primary studies based on the ParameterB, where a Study Selection Rule of the one or more Study Selection Rules comprises:
- IF (Primary.Dicom.DiseaseCharacteristic=“ParameterB”),
- THEN SELECT the one or more secondary studies
- WHERE (Other.Dicom.DiseaseCharacteristic=“ParameterB”, where the one or more secondary studies each comprise one or more images, where a plurality of images comprises the one or more images of the one or more secondary studies;
- (D) applying convolutional neural networks to the plurality of images to identify one or more image content based parameters;
- (E) executing the render server program on the server which applies the one or more image content based parameters to generate a list of one or more tertiary studies;
- and
- (F) sending from the server to the client computer for display on the client computer the list generated in step (E).
7 more elements
A method comprising:
- (A) receiving at a server a ParameterA and a ParameterB from a client computer, where the ParameterA is a disorder or disease based characteristic of a patient, where the ParameterB is a first modality, the server comprising a server digital data processor, and the client computer comprising a client digital data processor;
- (B) executing a render server program on the server which applies one or more Study Selection Rules to generate one or more primary studies from a database based on the ParameterA and the ParameterB, where a Study Selection Rule of the one or more Study Selection Rules comprises
- IF (Primary.Dicom.DiseaseCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”)
- THEN SELECT the one or more primary studies
- WHERE (Other.Dicom.DiseaseCharacteristic=“ParameterA” and Other.Dicom.Modality=“ParameterC”, where ParameterC is a second modality, where the first modality is not the second modality, where the one or more primary studies each comprise one or more images, where a plurality of images comprises the one or more images of the one or more primary studies;
- (C) applying convolutional neural networks to the plurality of images to identify one or more image content based parameters;
- (D) executing the render server program on the server which applies the one or more image content based parameters to generate a list of one or more secondary studies;
- and
- (E) sending from the server to the client computer for display on the client computer the list generated in step (D).
6 more elements
A method comprising:
- (A) receiving at a server a ParameterA, a ParameterB and a ParameterC from a client computer, where the ParameterA is a name of a patient, where the ParameterB is a disorder or disease based characteristic of the patient, where the ParameterC is a first modality, where the first modality is CR (Computed Radiography), the client computer comprising a client digital data processor, the server comprising a server digital data processor;
- (B) executing a render server program on the server which selects one or more primary studies from a database based on the ParameterA;
- (C) executing the render server program on the server which applies one or more Study Selection Rules to generate one or more secondary studies from the one or more primary studies based on the ParameterB and the ParameterC, where a Study Selection Rule of the one or more Study Selection Rules comprises
- IF (Primary.Dicom.DiseaseCharacteristic=“ParameterB” and Primary.Dicom.Modality=“CR”)
- THEN SELECT the one or more secondary studies
- WHERE (Other.Dicom.DiseaseCharacteristic=“ParameterB” and Other.Dicom.Modality=“CR” or “CT (Computed Tomography)”, where the one or more secondary studies each comprise one or more images, where a plurality of images comprises the one or more images of the one or more secondary studies;
- (D) applying convolutional neural networks to the plurality of images to identify one or more image content based parameters;
- (E) executing the render server program on the server which applies the one or more image content based parameters to generate a list of a plurality of tertiary studies from the one or more secondary studies;
- and
- (F) sending from the server to the client computer for display on the client computer the list generated in step (E).
7 more elements
Dependencies are inferred from the claim text.