SHAPE SIMILARITY MEASURE FOR BODY TISSUE
First Claim
1. A method of determining an accuracy of shape-determining processes for identifying shapes of a body tissue in one or more images of a patient, the method comprising:
- receiving first data that defines a first boundary of a first shape of the body tissue in at least a portion of the one or more images, the first shape being determined by a first shape-determining process;
receiving second data that defines a second boundary of a second shape of the body tissue in at least a portion of the one or more images, the second shape being determined by a second shape-determining process;
determining, by a computer system, an intersection shape of the first shape and the second shape;
determining, by the computer system, a union shape of the first shape and the second shape;
calculating, by the computer system, a difference between the union shape and the intersection shape; and
computing, by the computer system, a shape similarity metric based on the difference.
1 Assignment
0 Petitions
Accused Products
Abstract
A shape similarity metric can be provided that indicates how similar two or more shapes are. A difference between a union of the shapes and an intersection of the shapes can be used to determine the similarity metric. The shape similarity metric can provide an average distance between the shapes. Different processes for determining shapes can be evaluated for accuracy based on the shape similarity metric. New or alternative shape-determining processes can be compared for accuracy against other shape-determining processes including reference shape-determining processes. Shape similarity metrics can be determined for two-dimensional shapes and three-dimensional shapes.
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Citations
25 Claims
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1. A method of determining an accuracy of shape-determining processes for identifying shapes of a body tissue in one or more images of a patient, the method comprising:
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receiving first data that defines a first boundary of a first shape of the body tissue in at least a portion of the one or more images, the first shape being determined by a first shape-determining process; receiving second data that defines a second boundary of a second shape of the body tissue in at least a portion of the one or more images, the second shape being determined by a second shape-determining process; determining, by a computer system, an intersection shape of the first shape and the second shape; determining, by the computer system, a union shape of the first shape and the second shape; calculating, by the computer system, a difference between the union shape and the intersection shape; and computing, by the computer system, a shape similarity metric based on the difference. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of determining an accuracy of shape-determining processes for identifying shapes of a body tissue in one or more images of a patient, the method comprising:
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receiving first data that defines a first boundary of a first shape of the body tissue in at least a portion of the one or more images, the first shape being determined by a first shape-determining process; determining, by a computer system, that the first shape does not intersect with a second shape; and computing, by the computer system, a shape similarity metric by; determining a first size of the first shape, the first size determined using a first area or a first volume of the first shape and a first normalization factor for the first shape; and using the first size to compute the shape similarity metric. - View Dependent Claims (11, 12, 13, 14)
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15. A method of comparing shapes of body tissues in images of patients, the method comprising:
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receiving first data that defines a first boundary of a first shape of a first body tissue of a first patient; for each of a plurality of second patients; receiving second data that defines a second boundary of a second shape of a second body tissue of one of the plurality of second patients; determining, by a computer system, an intersection shape of the first shape and the second shape; determining, by the computer system, a union shape of the first shape and the second shape; calculating, by the computer system, a difference between the union shape and the intersection shape; and computing, by the computer system, a shape similarity metric based on the difference; and identifying a first shape similarity metric that satisfies one or more criteria, the first shape similarity metric corresponding to a particular second patient. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed control a computer system to determine an accuracy of shape-determining processes for identifying shapes of a body tissue in one or more images of a patient, the instructions comprising:
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receiving first data that defines a first boundary of a first shape of the body tissue, the first shape being determined by a first shape-determining process; receiving second data that defines a second boundary of a second shape of the body tissue, the second shape being determined by a second shape-determining process; determining an intersection shape of the first shape and the second shape; determining a union shape of the first shape and the second shape; calculating a difference between the union shape and the intersection shape; and computing a shape similarity metric based on the difference.
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Specification