Computer-aided analysis and rendering of medical images using user-defined rules

US9934568B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9934568-B2
Application numberUS-201715469296-A
CountryUS
Kind codeB2
Filing dateMar 24, 2017
Priority dateSep 28, 2009
Publication dateApr 3, 2018
Grant dateApr 3, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method of automated analysis of medical images, the method comprising: by one or more processors executing program instructions: accessing a set of medical image data; automatically analyzing the set of medical image data by a CAP action to determine a value of an attribute of the set of medical image data; accessing a user-defined rule indicating an association between the value of the attribute and a desired image slice thickness; determining whether the set of medical image data is formatted according to the desired image slice thickness indicated by the user-defined rule; and in response to determining that at least a portion of the set of medical image data is not formatted according to the desired image slice thickness rendering at least the portion of the set of medical image data as a series of medical images having the desired slice thickness. 2. The computer-implemented method of claim 1 further comprising: by one or more processors executing program instructions: accessing a plurality of user-defined CAP rules; identifying a CAP rule associated with the set of medical imaging data; and determining the CAP action indicated by the rule. 3. The computer-implemented method of claim 2 , wherein the CAP rule is associated with the set of medical imaging data based on at least one of: a modality, an anatomical region, or a medical indicator. 4. The computer-implemented method of claim 2 , wherein the attribute comprises at least one of: a tissue density, or a presence of an abnormality or a suspected abnormality. 5. The computer-implemented method of claim 2 further comprising: by one or more processors executing program instructions: identifying a possible abnormality based on the analyzing of the set of medical image data by the CAP action; and fusing a group of medical images from the series of medical images in a region associated with the possible abnormality. 6. The computer-implemented method of claim 5 further comprising: by the one or more processors executing program instructions: automatically initiating display of the group of medical images of the series of medical images at a computing device. 7. The computer-implemented method of claim 2 further comprising: by one or more processors executing program instructions: determining a rendering location for rendering the series of medical images based on a second user-defined rule. 8. The computer-implemented method of claim 7 , wherein the second user-defined rule indicates at least one of: a user associated with the user-defined rule, a location at which the series of medical images are to be displayed, or a characteristic of a device upon which the series of medical images to be displayed. 9. A system comprising: a computer readable storage medium having program instructions embodied therewith; and one or more processors configured to execute the program instructions to cause the one or more processors to: access a set of medical image data; automatically analyze the set of medical image data by a CAP action to determine a value of an attribute of the set of medical image data; access a user-defined rule indicating an association between the value of the attribute and a desired image slice thickness; determine whether the set of medical image data is formatted according to the desired image slice thickness indicated by the user-defined rule; and in response to determining that at least a portion of the set of medical image data is not formatted according to the desired image slice thickness render at least the portion of the set of medical image data as a series of medical images having the desired slice thickness. 10. The system of claim 9 , wherein the one or more processors are configured to execute the program instructions to further cause the one or more processors to: access a plurality of user-defined CAP rules; identify a CAP rule associated with the set of medical imaging data; and determine the CAP action indicated by the rule. 11. The system of claim 10 , wherein the CAP rule is associated with the set of medical imaging data based on at least one of: a modality, an anatomical region, or a medical indicator. 12. The system of claim 10 , wherein the attribute comprises at least one of: a tissue density, or a presence of an abnormality or a suspected abnormality. 13. The system of claim 10 , wherein the one or more processors are configured to execute the program instructions to further cause the one or more processors to: identify a possible abnormality based on the analyzing of the set of medical image data by the CAP action; and fuse a group of medical images from the series of medical images in a region associated with the possible abnormality. 14. The system of claim 13 , wherein the one or more processors are configured to execute the program instructions to further cause the one or more processors to: automatically initiate display of the group of medical images of the series of medical images at a computing device. 15. The system of claim 10 , wherein the one or more processors are configured to execute the program instructions to further cause the one or more processors to: determine a rendering location for rendering the series of medical images based on a second user-defined rule. 16. The system of claim 15 , wherein the second user-defined rule indicates at least one of: a user associated with the user-defined rule, a location at which the series of medical images are to be displayed, or a characteristic of a device upon which the series of medical images to be displayed. 17. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by one or more processors to cause the one or more processors to: access a set of medical image data; automatically analyze the set of medical image data by a CAP action to determine a value of an attribute of the set of medical image data; access a user-defined rule indicating an association between the value of the attribute and a desired image slice thickness; determine whether the set of medical image data is formatted according to the desired image slice thickness indicated by the user-defined rule; and in response to determining that at least a portion of the set of medical image data is not formatted according to the desired image slice thickness render at least the portion of the set of medical image data as a series of medical images having the desired slice thickness. 18. The computer program product of claim 17 , wherein the program instructions are executable by one or more processors to further cause the one or more processors to: access a plurality of user-defined CAP rules; identify a CAP rule associated with the set of medical imaging data; and determine the CAP action indicated by the rule. 19. The computer program product of claim 18 , wherein the program instructions are executable by one or more processors to further cause the one or more processors to: identify a possible abnormality based on the analyzing of the set of medical image data by the CAP action; and fuse a group of medical images from the series of medical images in a region associated with the possible abnormality. 20. The computer program product of claim 19 , wherein the program instructions are executable by one or more processors to further cause the one or more processors to: automa

Assignees

Inventors

Classifications

  • in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

  • General purpose rendering architectures · CPC title

  • for processing medical images, e.g. editing · CPC title

  • based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

  • involving 3D image data · CPC title

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Frequently asked questions

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What does patent US9934568B2 cover?
Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image …
Who is the assignee on this patent?
D R Systems Inc
What technology area does this patent fall under?
Primary CPC classification G06T7/0012. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 03 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).