System for and method of diagnostic coding using medical image data

• US 20080004520A1
• Filed: 06/14/2007
• Published: 01/03/2008
• Est. Priority Date: 06/15/2006
• Status: Abandoned Application

• Current Assignee: Revolutions Medical Corp.
• Original Assignee: Revolutions Medical Corp.
• Inventors: Theriault, Richard
• Application Number:
  US11/818,329
• Publication Number:
  US 20080004520A1
• Time in Patent Office: Days
• US Class Current: 600/410
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

In accordance with at least one aspect, a method is provided to automatically generate a diagnosis based on information provided in a subject MRI image. In one embodiment, a plurality of stored MRI images are associated with one or more pathological conditions. A region of interest is identified in a subject color MRI image. A closest match between the subject MRI image and a stored image is determined by comparing the region of interest to a region of at least one of the plurality of stored images. A diagnosis is generated for the subject image.

Claims

1. A method of automatically generating a diagnosis based on information provided in a subject MRI image, the method comprising acts of:

associating each of a plurality of reference color MRI images corresponding to one or more pathological conditions with a diagnosis, respectively;

identifying a region of interest in the subject MRI image;

comparing the region of interest to one or more regions of at least one of the plurality of reference color MRI images;

determining a closest match between the subject MRI image and a reference image selected from among the plurality of reference color MRI images; and

generating a diagnosis associated with the subject image based at least partly on a pathological condition associated with the reference image.

2. The method of claim 1, further comprising an act of assigning a confidence factor to the diagnosis.

3. The method of claim 1, further comprising an act of assigning a diagnosis code to the subject image, wherein the diagnosis code corresponds to the generated diagnosis.

4. The method of claim 3, wherein the act of generating the diagnosis includes an act of generating a diagnosis that at least one color MRI image is normal.

5. The method of claim 4, further comprising an act of determining whether at least one feature of a pathological condition is represented in the color MRI image and generating a diagnosis that the at least one color image is normal when the pathological condition is not present.

6. The method of claim 4, further comprising an act of assigning a confidence factor to the diagnosis that the at least one color MRI image is normal.

7. The method of claim 1, wherein the act of generating the subject MRI includes an act of automatically generating the subject MRI based on both pixel intensities occurring in at least one gray-scale image and an image-generating parameter with which the at least one gray-scale image is generated.

8. The method of claim 1, further comprising an act of determining a strength of the closest match.

9. The method of claim 8, wherein the act of determining the strength of the closest match includes an act of determining an area of a particular type of tissue in the region of interest.

10. The method of claim 1, wherein the act of identifying further comprises an act of automatically identifying the region of interest.

11. The method of claim 1, further comprising an act of identifying the region of interest from among a plurality of regions automatically selected.

12. The method of claim 1, further comprising an act of generating the diagnosis based on information provided in a plurality of subject MRI images.

13. The method of claim 12, further comprising an act of generating the plurality of subject MRI images as a series of color slices of a subject.

14. The method of claim 12, further comprising acts of:

identifying a region of interest in each of the plurality of subject MRI images; and

comparing each region of interest with one or more regions of at least one of the plurality of reference MRI images.

15. The method of claim 14, further comprising an act of determining a closest match between each of the plurality of subject images and a reference image selected from among the plurality of reference MRI images.

16. The method of claim 15, further comprising an act of employing a scale to spatially align each of the plurality of subject images with at least one of the reference images.

17. The method of claim 15, wherein the act of determining further includes an act of, for each of the plurality of subject images, individually selecting the subject image from the plurality of subject images and selecting the reference image based on information in the selected subject image.

18. A system for generating a diagnostic code based on information provided in a subject MRI image, the system comprising:

a reference image storage module configured to store a plurality of color reference MRI images that include at least one reference image having a region in which a known pathological condition is represented;

a processing module configured to compare the subject image with the at least one reference image; and

a coding module configured to generate a diagnostic code concerning the subject image based on a comparison between the information provided in the subject MRI image and information provided in the at least one reference image.

19. The system of claim 18, wherein the information provided in the at least one reference image is information concerning the pathological condition.

20. The system of claim 19, wherein the information concerning the pathological condition is information concerning the region in which the known pathological condition is represented.

21. The system of claim 20, wherein the information concerning the pathological condition is provided by color that is present in the region.

22. The system of claim 21, wherein the information concerning the pathological condition is provided by a plurality of colors that are present in the region.

23. The system of claim 20, wherein the information concerning the pathological condition is provided by an intensity of at least one color that is present in the region.

24. The system of claim 20, wherein the information concerning the pathological condition is provided by a hue of at least one color that is present in the region.

25. The system of claim 18, wherein the processing module is further configured to determine a strength of a match between the subject image and the at least one reference image.

26. The system of claim 25, wherein the diagnostic code is based, at least in part, on the strength of the match.

27. The system of claim 25, wherein the processing module is further configured to compare the subject image with a plurality of reference images.

28. The system of claim 27, wherein the coding module is further configured to generate the diagnostic code based on a comparison between the information provided in the subject MRI image and information provide in a plurality of reference images.

29. The system of claim 18, wherein the processing module is further configured to compare a plurality of subject images with a plurality of reference images.

30. The system of claim 29, wherein the processing module is further configured to compare each of the plurality of subject images to the plurality of reference images and to independently determine a strength of a match of each of the plurality of subject images and at least one of the plurality of reference images.

31. The system of claim 30, wherein the processing module is further configured to determine a closest match from among those comparisons for which the strength of the match is determined.

32. The system of claim 18, further comprising a colorization module configured to generate the subject MRI image in color by generating a composite color image from a plurality of gray-scale images.