Method, apparatus, and program for detecting abnormal patterns
First Claim
1. An abnormal pattern detecting method, comprising the steps of:
- extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
setting comparative region images, which are compared against the candidate regions;
calculating characteristic amounts that represent correlations among the comparative region images and the images within the candidate regions; and
judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region images are set in a manner such that images, which are similar to the images within the candidate regions of the medical images, are searched for; and
the similar images are set as the comparative region images.
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Abstract
The positions of comparative tissue are more accurately set, in an abnormal pattern detecting apparatus that compares abnormal pattern candidates against healthy tissue having similar tissue structures to judge whether the candidates are abnormal patterns, to improve judgment accuracy. A comparative region image setting means searches for images that are similar to images within candidate regions, which are extracted by a candidate region extracting means. The search is conducted employing correlative values that represent the degrees of similarity among the images and the images within candidate regions. Similar images, which are located employing the correlative values, are set as comparative region images.
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Citations
16 Claims
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1. An abnormal pattern detecting method, comprising the steps of:
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extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
setting comparative region images, which are compared against the candidate regions;
calculating characteristic amounts that represent correlations among the comparative region images and the images within the candidate regions; and
judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region images are set in a manner such that images, which are similar to the images within the candidate regions of the medical images, are searched for; and
the similar images are set as the comparative region images.
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2. An abnormal pattern detecting method, comprising the steps of:
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extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
obtaining comparative medical image data sets, which are different from the medical image data sets but represent images of the same type of subject setting comparative region images, which are compared against the candidate regions;
calculating characteristic amounts that represent correlations among the comparative region image and the images within the candidate regions; and
judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region images are set in a manner such that images, which are similar to the images within the candidate regions of the medical image, are searched for among the comparative medical image data sets; and
the similar images are set as the comparative region images.
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3. An abnormal pattern detecting apparatus, comprising:
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candidate region extracting means, for extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
comparative region image setting means, for setting comparative region images, which are compared against the candidate regions;
characteristic amount calculating means, for calculating characteristic amounts that represent correlations among the comparative region images and the images within the candidate regions; and
judging means, for judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region image setting means sets the comparative region images in a manner such that images, which are similar to the images within the candidate regions of the medical images, are searched for, and sets the similar images as the comparative region images. - View Dependent Claims (4, 5, 6)
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7. An abnormal pattern detecting apparatus, comprising:
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candidate region extracting means, for extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
comparative medical image obtaining means, for obtaining comparative medical image data sets, which are different from the medical image data sets but represent images of the same type of subject;
comparative region image setting means, for setting comparative region images, which are compared against the candidate regions;
characteristic amount calculating means, for calculating characteristic amounts that represent correlations among the comparative region image and the images within the candidate regions; and
judging means, for judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region image setting means sets the comparative region images in a manner such that images, which are similar to the images within the candidate regions of the medical image, are searched for among the comparative medical image data sets; and
the similar images are set as the comparative region images. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A program that causes a computer to execute an abnormal pattern detecting method, comprising the procedures of:
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extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
setting comparative region images, which are compared against the candidate regions;
calculating characteristic amounts that represent correlations among the comparative region images and the images within the candidate regions; and
judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region images are set in a manner such that images, which are similar to the images within the candidate regions of the medical images, are searched for; and
the similar images are set as the comparative region images. - View Dependent Claims (15)
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14. A program that causes a computer to execute an abnormal pattern detecting method, comprising the procedures of:
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extracting candidate regions that include abnormal pattern candidates from medical images, represented by medical image data sets of subjects, which have been input;
obtaining comparative medical image data sets, which are different from the medical image data sets but represent images of the same type of subject;
setting comparative region images, which are compared against the candidate regions;
calculating characteristic amounts that represent correlations among the comparative region image and the images within the candidate regions; and
judging whether the candidates included in the candidate regions are abnormal patterns, based at least on the calculated characteristic amounts;
wherein;
the comparative region images are set in a manner such that images, which are similar to the images within the candidate regions of the medical image, are searched for among the comparative medical image data sets; and
the similar images are set as the comparative region images. - View Dependent Claims (16)
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Specification