Sparse volume segmentation for 3D scans
First Claim
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1. A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target, the method comprising:
- receiving an observation volume;
providing volume data comprising the target;
selecting a plurality of key contours of the volume data;
building a 3D sparse model of the volume data given the plurality of key contours;
determining a volumetric segmentation of a volume data by optimizing an image-based cost function with respect to simultaneously both the set of key contours in a reference space and a transformation which relates a reconstructed model to the observation volume; and
outputting a representation of the volume data based on the segmentation using the 3D sparse model.
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Abstract
A computer readable medium is provided embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target. The method including learning prior knowledge, providing volume data comprising the target, selecting a plurality of key contours of the image of the target, building a 3D spare model of the image of the target given the plurality of key contours, segmenting the image of the target given the 3D sparse model, and outputting a segmentation of the image of the target.
44 Citations
11 Claims
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1. A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target, the method comprising:
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receiving an observation volume; providing volume data comprising the target; selecting a plurality of key contours of the volume data; building a 3D sparse model of the volume data given the plurality of key contours; determining a volumetric segmentation of a volume data by optimizing an image-based cost function with respect to simultaneously both the set of key contours in a reference space and a transformation which relates a reconstructed model to the observation volume; and outputting a representation of the volume data based on the segmentation using the 3D sparse model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for sparse volume segmentation for 3D scan of a target, the method comprising:
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providing a 3D sparse model of a volume data including the target comprising key indices, key contours at the key indices, an interpolation operator, and an interpolated volume; setting a global register of the volume data to the 3D sparse model in a model space; segmenting the plurality of key contours at the key indices; inferring a segmentation of a portion of the volume data from the plurality of key contours; and outputting a representation of the volume including the plurality of key contours and the portion of the volume data inferred from the plurality of key contours. - View Dependent Claims (9)
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10. A computer system comprising:
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a processor; and a computer readable medium embodying instructions executable by the processor to perform a method for sparse volume segmentation for 3D scan of a target, the method comprising; receiving an observation volume; providing volume data comprising the target; selecting a plurality of key contours of the volume data; building a 3D sparse model of the volume data given the plurality of key contours; determining a volumetric segmentation of a volume data by optimizing an image-based cost function with respect to simultaneously both the set of key contours in a reference space and a transformation which relates a reconstructed model to the observation volume; and outputting a representation of the volume data based on the segmentation using the 3D sparse model. - View Dependent Claims (11)
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Specification