Methods and systems for 3D segmentation of ultrasound images
First Claim
1. A method for three dimensional (3D) segmentation of an object, comprising:
- obtain a volumetric data set containing object data and non-object data in proximity to said object data, said object data having a reference axis extending through said object data;
defining at least one reference slice and multiple object slices within said volumetric data set, said reference slice and said object slices intersecting one another along said reference axis and containing said reference axis;
determining, within said reference slice, reference points at edges of said object data;
generating an estimated contour extended through said reference and object slices based on said reference points, said estimated contour intersecting said object slices to define estimated contour points; and
adjusting said estimated contour points until corresponding substantially to actual contour points of the object data.
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Abstract
A method for three dimensional (3D) segmentation of an object is provided. The method obtains a volumetric data set containing object data and non-object data in proximity to the object data, the object data having a reference axis extending through the object data. The method defines at least one reference slice and multiple object slices within the volumetric data set, the reference slice and the object slices intersecting one another along the reference axis and containing the reference axis. Reference points are determined within the reference slice at edges of the object data. With reference points determined, the method generates an estimated contour extended through the reference and object slices based on the reference points, the estimated contour intersecting the object slices to define estimated contour points. The method then adjusts the estimated contour points until corresponding substantially to actual contour points of the object data.
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Citations
22 Claims
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1. A method for three dimensional (3D) segmentation of an object, comprising:
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obtain a volumetric data set containing object data and non-object data in proximity to said object data, said object data having a reference axis extending through said object data; defining at least one reference slice and multiple object slices within said volumetric data set, said reference slice and said object slices intersecting one another along said reference axis and containing said reference axis; determining, within said reference slice, reference points at edges of said object data; generating an estimated contour extended through said reference and object slices based on said reference points, said estimated contour intersecting said object slices to define estimated contour points; and adjusting said estimated contour points until corresponding substantially to actual contour points of the object data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for three dimensional (3D) segmentation of an object, comprising:
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memory storing a volumetric data set containing object data and non-object data in proximity to said object data, said object data having a reference axis extending through said object data; a processing unit defining at least one reference slice and multiple object slices within said volumetric data set, said reference slice and said object slices intersecting one another along said reference axis and containing said reference axis, said processing unit determining, within said reference slice, reference points at edges of said object data; a contour estimator generating an estimated contour extended through said reference and object slices based on said reference points, said estimated contour intersecting said object slices to define estimated contour points in each object slice; a contour adjustment unit adjusting said estimated contour points until corresponding substantially to actual contour points of the object data. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification