Image Reporting Method

• US 20120020536A1
• Filed: 07/21/2011
• Published: 01/26/2012
• Est. Priority Date: 07/21/2010
• Status: Active Grant

• Current Assignee: Armin E. Moehrle
• Original Assignee: Armin E. Moehrle
• Inventors: Moehrle, Armin E.
• Granted Patent: US 9,014,485 B2
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/10008 from scanner, fax or copier
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/10116 X-ray image
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G06T 7/30 Determination of transform parameters for the alignment of images, i.e. image registration
• CPC Class Codes: G06T 7/74 involving reference images or patches
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

An image reporting method is provided. The image reporting method comprises the steps of retrieving an image representation of a sample structure from an image source; mapping a generic structure to the sample structure, the generic structure being related to the sample structure and having at least coordinate data defined therein; determining one or more regions of interest within the sample structure based on content of the image representation of the sample structure; associating an annotation to at least one of the regions of interest; and generating a report based at least partially on one of the regions of interest and the annotation.

Claims

1. An image reporting method, comprising the steps of:

retrieving an image representation of a sample structure from an image source;

mapping a generic structure to the sample structure, the generic structure being related to the sample structure and having at least coordinate data defined therein;

determining one or more regions of interest within the sample structure based on content of the image representation of the sample structure;

associating an annotation to at least one of the regions of interest; and

generating a report based at least partially on one of the regions of interest and the annotation.

2. The method of claim 1 further comprising the step of generating a description for the region of interest based on at least one of the annotation and spatial coordinates of the region of interest.

3. The method of claim 2, wherein the description is a location statement describing the spatial coordinates of the region of interest.

4. The method of claim 2, wherein the description is a location statement describing an underlying object within the sample structure that corresponds to the spatial coordinates of the region of interest.

5. The method of claim 2, wherein the description is generated based at least partially on one or more knowledge representation databases.

6. The method of claim 2, wherein the descriptions of two or more related reports are tracked for inconsistencies.

7. The method of claim 1, wherein the image representation of the sample structure corresponds to one or more two-dimensional images.

8. The method of claim 7 further comprising the step of constructing a three-dimensional image of the sample structure.

9. The method of claim 1, wherein the sample structure corresponds to a medical image representation.

10. The method of claim 1, wherein the generic structure is selected from a plurality of generic structures being retrievably stored at a database according to one or more categories.

11. The method of claim 1, wherein the region of interest is determined based on a comparison of content of the sample structure to content of a reference structure.

12. The method of claim 11 further comprising the step of automatically warping a view of the reference structure so as to approximate at least one of the size and the orientation of a view of the sample structure.

13. The method of claim 12, wherein the step of automatically warping includes:

determining a set of shared control points in each of the sample structure and the reference structure views;

warping the reference structure view based on the control points to approximate the sample structure view; and

determining corresponding spatial coordinates of the region of interest in the reference structure view.

14. The method of claim 11 further comprising the step of displaying one or more views of the sample structure and one or more corresponding views of the reference structure for comparison.

15. The method of claim 11, wherein the reference structure is a prior image representation of the sample structure.

16. The method of claim 11, wherein the reference structure is an image representation of the generic structure.

17. The method of claim 11, wherein the region of interest is automatically determined based on measured differences between content of the sample structure and content of the reference structure.

18. The method of claim 11 further comprising the steps of:

displaying a plurality of different views of the same sample structure; and

if the region of interest is determined in one of the views, automatically approximating the corresponding spatial locations of the region of interest in the remaining views.

19. The method of claim 1 further comprising the step of retrievably storing one or more of the mapped sample structure, region of interest, annotation, and report at a database.

20. The method of claim 19, wherein the mapped sample structure and associated attributes are added to a buildable knowledgebase within the database, the attributes pertaining to one or more of the size, dimensions, area, volume, weight, density, and orientation of the mapped sample structure.

21. An image reporting method, comprising the steps of:

retrieving an image representation of a sample structure from an image source;

providing a three-dimensional structure that is related to the sample structure, the three-dimensional structure having at least spatial coordinates defined therein;

mapping the three-dimensional structure to the sample structure so as to associate regions of the sample structure with the spatial coordinates of the three-dimensional structure;

displaying at least one view of the sample structure;

determining one or more regions of interest within the sample structure based on content of the image representation of the sample structure;

associating an annotation to at least one of the regions of interest; and

generating a report based at least partially on one of the regions of interest and the annotation.

22. The method of claim 21, wherein the region of interest is determined based on a comparison of content of the sample structure to content of a reference structure.

23. The method of claim 22 further comprising the step of automatically warping the sample structure so as to approximate orientations of the reference structure.

24. The method of claim 21 further comprising the step of generating a description for the region of interest from the annotation and spatial coordinates of the region of interest.

25. The method of claim 24, wherein the description is automatically generated at least partially based on one or more knowledge representation databases.

26. An image reporting apparatus, comprising:

a user interface providing user access to the image reporting apparatus, the user interface having an input device and an output device; and

a computational device in communication with each of the input device, output device and an image source, the computational device having a microprocessor and a memory for storing an algorithm for performing image interpretation and reporting, the algorithm configuring the computational device to

retrieve an image representation of a sample structure from the image source,

provide a generic structure that is related to the sample structure and having at least coordinate data defined therein,

map the generic structure to the sample structure such that regions of the sample structure are spatially defined by the coordinate data,

display at least one view of the sample structure on the output device,

determine a region of interest within the sample structure based on content of the image representation of the sample structure,

associate an annotation received from the input device to at least one region of interest, and

generate a report based at least partially on the region of interest and the annotation.

27. The apparatus of claim 26, wherein the region of interest is determined based on a comparison of content of the sample structure to content of a reference structure.

28. The apparatus of claim 26, wherein the algorithm further configures the computational device to transmit the report to a network via a communications device.

29. The apparatus of claim 26, wherein the determination of the region of interest is at least partially based on user input received from the input device.

30. The apparatus of claim 26, wherein the algorithm further configures the computational device to automatically generate a description for the region of interest from the annotation and spatial coordinates of the region of interest.

31. The apparatus of claim 30, wherein the description is automatically generated based at least partially on a dynamic knowledge representation database.

32. The apparatus of claim 30, wherein the description is automatically generated based at least partially on one or more of a Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) database, a Breast Imaging-Reporting and Data System (BI-RADS) database, and a RadLex database.

33. The apparatus of claim 30, wherein the description of two or more related reports are tracked for inconsistencies.

34. The apparatus of claim 33, wherein the report is automatically revised based on detected inconsistencies.