Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images
First Claim
1. A method for computer assisted interpretation of a medical image, comprising:
- obtaining image data representative of a medical image;
computing at least one feature characteristic of the image data;
comparing the computed feature characteristic to corresponding computed feature characteristics derived from images in a known image data set;
selecting image data from images of the known image data set having corresponding computed feature characteristics similar to the feature characteristics computed in the computing step; and
displaying at least one of the selected image data and the obtained image data.
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Accused Products
Abstract
A method, system and computer readable medium for an intelligent search display into which an automated computerized image analysis has been incorporated. Upon viewing an unknown mammographic case, the display shows both the computer classification output as well as images of lesions with known diagnoses (e.g., malignant vs. benign) and similar computer-extracted features. The similarity index used in the search can be chosen by the radiologist to be based on a single feature, multiple features, or on the computer estimate of the likelihood of malignancy. Specifically the system includes the calculation of features of images in a known database, calculation of features of an unknown case, calculation of a similarity index, display of the known cases along the probability distribution curves at which the unknown case exists. Techniques include novel developments and implementations of computer-extracted features for similarity calculation and novel methods for the display of the unknown case amongst known cases with and without the computer-determined diagnoses.
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Citations
37 Claims
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1. A method for computer assisted interpretation of a medical image, comprising:
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obtaining image data representative of a medical image;
computing at least one feature characteristic of the image data;
comparing the computed feature characteristic to corresponding computed feature characteristics derived from images in a known image data set;
selecting image data from images of the known image data set having corresponding computed feature characteristics similar to the feature characteristics computed in the computing step; and
displaying at least one of the selected image data and the obtained image data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 37)
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33. A method for intelligent search of a known database for interpretation of medical images, comprising:
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generating image data from images derived from patients;
computing feature characteristics of said image data;
comparing said feature characteristics to computer-extracted feature characteristics of images in a known image data set; and
displaying similar lesions with or without computer analysis output based on said comparison results.
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34. A method for computer-assisted interpretation of a medical image, comprising:
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obtaining digital image data representative of the medical image;
processing the image data to extract at least one feature characterizing a candidate abnormality;
searching a database of known image data corresponding to known images having said at least one feature and retrieving known image data having said at least one feature;
comparing said extracted at least one feature with the at least one feature existing in the retrieved known image data to identify known retrieved images having said at least one feature similar to the extracted at least one feature; and
displaying image data of a location of the medical image from which said extracted feature was extracted and known image data of a location in a retrieved known image having a similar feature. - View Dependent Claims (35)
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Specification