Method and system for automatically generating a disease severity index
First Claim
1. A method to create a normative categorical score of medical diagnostic images, the method comprising:
- accessing an acquired image of an anatomical region of a patient, the acquired image depicting functional information regarding at least one tracer in the anatomical region at the time of the imaging;
generating, on a computer, a deviation image visually depicting the deviation of the acquired image from normative standardized anatomical image data based on one or more subject specific factors, wherein the deviation image represents the degree and manner in which the acquired image deviates from the corresponding normative standardized anatomical image data for the anatomical feature; and
comparing, on a computer, the generated deviation image with an existing database of disease severity images, each database image visually depicting a respective deviation from normality for the anatomical region and each corresponding to a respective severity index value.
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Abstract
Methods and systems for automatically generating a severity index for images of anatomical features of a patient are provided. In an exemplary embodiment, an image of an anatomical feature of a patient is compared with a normal, standardized image of the same anatomical feature. Based on this comparison, a deviation image for the anatomical feature is generated that represents the degree and manner the acquired image deviates from normal for that anatomical feature. The deviation image is automatically pattern matched against multiple images of known disease severity for the anatomical feature. Based on the automated pattern match, a known disease severity, such as in the form of a severity index, is provided as corresponding anatomical feature for the patient.
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Citations
21 Claims
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1. A method to create a normative categorical score of medical diagnostic images, the method comprising:
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accessing an acquired image of an anatomical region of a patient, the acquired image depicting functional information regarding at least one tracer in the anatomical region at the time of the imaging; generating, on a computer, a deviation image visually depicting the deviation of the acquired image from normative standardized anatomical image data based on one or more subject specific factors, wherein the deviation image represents the degree and manner in which the acquired image deviates from the corresponding normative standardized anatomical image data for the anatomical feature; and comparing, on a computer, the generated deviation image with an existing database of disease severity images, each database image visually depicting a respective deviation from normality for the anatomical region and each corresponding to a respective severity index value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 20, 21)
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9. One or more non-transitory computer readable media, comprising code executable to perform the acts of:
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accessing an acquired image of an anatomical region of a patient, the acquired image depicting functional information regarding at least one tracer in the anatomical region at the time of the imaging generating a deviation image visually depicting the deviation of the acquired image from normative standardized anatomical image data based on one or more subject specific factors, wherein the deviation image represents the degree and manner in which the acquired image deviates from the corresponding normative standardized anatomical image data for the anatomical feature; and comparing the generated deviation image with an existing database of disease severity images, each database image visually depicting a respective deviation from normality for the anatomical region and each corresponding to a respective severity index value. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for automatically generating a severity score, comprising:
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generating, on a computer, a severity index for each of a plurality of patient images by matching a respective deviation image generated for each patient image with a respective reference image of a set of reference deviation images, wherein each generated deviation image represents a degree and manner in which the respective patient image deviates from a corresponding anatomical image depicting a corresponding anatomical region in a non-diseased state; and deriving, on a computer, a severity score based on the plurality of severity indexes.
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Specification