DEVICE, METHOD AND RECORDING MEDIUM CONTAINING PROGRAM FOR SEPARATING IMAGE COMPONENT, AND DEVICE, METHOD AND RECORDING MEDIUM CONTAINING PROGRAM FOR GENERATING NORMAL IMAGE
First Claim
1. An image component separating device comprising:
- normal image generating means to generate, from an input medical image representing a predetermined structure in a subject, a normal image representing a normal structure of the structure in the subject; and
an abnormal component separating means to separate an abnormal component in the input medical image by calculating a difference between the input medical image and the normal image,wherein the normal image generating means comprises a supervised learned filter obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image, and the normal image generating means generates the normal image by inputting the input medical image to the supervised learned filter.
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Abstract
A normal image representing a normal structure of a predetermined structure in an input medical image is generated with higher accuracy. Further, an abnormal component in the input medical image is separated with higher accuracy. A supervised learned filtering unit inputs an input image representing a predetermined structure to a supervised learned filter to generate an image representing a normal structure of the predetermined structure. The supervised learned filter is obtained through a learning process using supervisor images, each representing a normal structure of the predetermined structure in a subject (individual), and corresponding training images, each containing an abnormal component in the corresponding subject (individual). Further, a difference processing unit separates an abnormal component in the input image by calculating a difference between the input image and the image representing the normal structure.
50 Citations
18 Claims
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1. An image component separating device comprising:
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normal image generating means to generate, from an input medical image representing a predetermined structure in a subject, a normal image representing a normal structure of the structure in the subject; and an abnormal component separating means to separate an abnormal component in the input medical image by calculating a difference between the input medical image and the normal image, wherein the normal image generating means comprises a supervised learned filter obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image, and the normal image generating means generates the normal image by inputting the input medical image to the supervised learned filter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A normal image generating device comprising:
means to generate a normal image from an input medical image representing a predetermined structure in a subject by inputting the input medical image to a supervised learned filter, the supervised learned filter being obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image. - View Dependent Claims (14)
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15. An image component separating method comprising:
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a first step to generate, from an input medical image representing a predetermined structure in a subject, a normal image representing a normal structure of the structure in the subject; and a second step to separate an abnormal component in the input medical image by calculating a difference between the input medical image and the normal image, wherein the normal image is generated in the first step by inputting the input medical image to a supervised learned filter, the supervised learned filter being obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image.
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16. A normal image generating method comprising:
generating a normal image from an input medical image representing a predetermined structure in a subject by inputting the input medical image to a supervised learned filter, the supervised learned filter being obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image.
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17. A recording medium containing an image component separating program to cause a computer to carry out:
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a first process to generate, from an input medical image representing a predetermined structure in a subject, a normal image representing a normal structure of the structure in the subject; and a second process to separate an abnormal component in the input medical image by calculating a difference between the input medical image and the normal image, wherein the first process generates the normal image by inputting the input medical image to a supervised learned filter, the supervised learned filter being obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image.
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18. A recording medium containing a normal image generating program to cause a computer to carry out:
a process to generate a normal image from an input medical image representing a predetermined structure in a subject by inputting the input medical image to a supervised learned filter, the supervised learned filter being obtained through a learning process using a plurality of training images and corresponding supervisor images, each training image representing the same structure as the predetermined structure in a subject of the same kind as the subject in the input medical image and containing an abnormal component, and each supervisor image representing a normal structure of the structure of the same subject as the subject in the corresponding training image.
Specification