Computer Diagnosis of Malignancies and False Positives
First Claim
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1. A method for diagnosing malignancy of suspect regions in a 2D imaging projection of a body organ of a subject comprising the steps of:
- normalizing the image projection to map regions thereof onto a standard shape;
extracting location of regions mapped on the standard shape and using normalized position of a suspect region to assess likelihood that it is malignant.
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Abstract
A method for diagnosing malignancy of suspect regions in a 2D imaging projection of a body organ of a subject comprising the steps of: normalizing the image projection to map regions thereof onto a standard shape; extracting location of regions mapped on the standard shape and using normalized position of a suspect region to assess likelihood that it is malignant.
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Citations
25 Claims
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1. A method for diagnosing malignancy of suspect regions in a 2D imaging projection of a body organ of a subject comprising the steps of:
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normalizing the image projection to map regions thereof onto a standard shape;
extracting location of regions mapped on the standard shape and using normalized position of a suspect region to assess likelihood that it is malignant. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 18, 19, 20, 21)
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14. The method of clam 13 wherein the reference image is a previously obtained image of the same organ.
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15. The method of clam 13 wherein the organ is one of a pair and the normalized image of the body organ is compared with a normalized image of the paired organ.
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17. The method of clam 13 wherein the reference image is an image of an equivalent organ for a related subject.
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22. A malignancy probability mapping of a projection image of a body organ, created by the method comprising the steps of:
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providing a training set of digital projection images of body organs including suspect regions of known malignancy status;
determining normalized coordinates of each suspect region in the training set of digital projection images;
dividing each normalized digital projection image into a pre-determined number of cells;
calculating the malignancy occurrence frequency for each cell; and
generating a malignancy probability map based on the frequency of occurrence in each cell. - View Dependent Claims (23, 25)
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24. A false positive probability mapping of a projection image of a body organ, fabricated by the method comprising the steps of:
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providing a training set of digital projection images of body organs including suspect regions recognized as being false positives;
determining normalized coordinates of each false positive in the training set of digital projection images;
dividing each normalized digital projection image into a pre-determined number of cells;
calculating the false positive frequency for each cell; and
generating a false positive probability map based on the frequency of occurrence in each cell.
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Specification