Image-based detection of the boundary between a first part and a second part
AssigneeGE Healthcare Japan Corporation
InventorTakao GOTO
Life of this patent
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Abstract
A detection apparatus for detecting the position of a boundary between a first part and a second part of a subject, includes a pixel extraction unit for extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part, and a pixel specification unit for specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.
Claims20
A detection apparatus for detecting the position of a boundary between a first part and a second part of a subject, the detection apparatus comprising:
- a pixel extraction unit for extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part;
- and
- a pixel specification unit for specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.
A magnetic resonance apparatus for detecting the position of a boundary between a first part and a second part of a subject, the magnetic resonance apparatus comprising:
- a pixel extraction unit for extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part;
- and
- a pixel specification unit for specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.
A detection method of detecting the position of a boundary between a first part and a second part of a subject, the detection method comprising:
- the pixel extraction step of extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part;
- and
- the pixel specification step of specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.
Dependencies are inferred from the claim text.