Non-rigid image registration using distance functions
First Claim
1. A method for non-rigid image registration using distance functions, the method comprising:
- receiving a source shape comprising uncertainties and a target shape;
creating an augmented registration space comprising a plurality of target shape clones coherently positioned in an information space;
considering a global linear parametric registration model and a corresponding local pixel-wise deformation field resulting in a non-rigid registration paradigm for the target shape;
recovering both of the global linear parametric registration model and the corresponding local pixel-wise deformation field simultaneously through a gradient-descent method;
integrating at least one global linear parametric registration model with local deformations from at least one corresponding local pixel-wise deformation field to assess the source shape;
optimizing a functional defined on a parameter or feature space, the functional quantifying the similarity between the source shape and at least one target shape or target shape clone in terms of distance functions; and
registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
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Abstract
A system and method for non-rigid image registration using distance functions includes portions for receiving a source shape into an image space, integrating a global linear registration model with local deformations to assess the source shape, optimizing a functional defined on a parameter or feature space where the functional quantifies the similarity between the source shape and a target shape in terms of distance functions, creating an augmented registration space including a plurality of target shape clones coherently positioned in the image space, tracking moving interfaces between the source shape and the target shapes and clones through a level set method, and registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
11 Citations
21 Claims
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1. A method for non-rigid image registration using distance functions, the method comprising:
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receiving a source shape comprising uncertainties and a target shape; creating an augmented registration space comprising a plurality of target shape clones coherently positioned in an information space; considering a global linear parametric registration model and a corresponding local pixel-wise deformation field resulting in a non-rigid registration paradigm for the target shape; recovering both of the global linear parametric registration model and the corresponding local pixel-wise deformation field simultaneously through a gradient-descent method; integrating at least one global linear parametric registration model with local deformations from at least one corresponding local pixel-wise deformation field to assess the source shape; optimizing a functional defined on a parameter or feature space, the functional quantifying the similarity between the source shape and at least one target shape or target shape clone in terms of distance functions; and registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones. - View Dependent Claims (2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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6. An apparatus for non-rigid image registration using distance functions, the apparatus comprising:
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a receiving unit for receiving a source shape comprising uncertainties and a target shape; a cloning unit in signal communication with the optimizing unit for creating an augmented registration space comprising a plurality of target shape clones coherently positioned in the information space; an integrating unit in signal communication with the receiving unit for considering a global linear parametric registration model and a corresponding local pixel-wise deformation field resulting in a non-rigid registration paradigm for the target shape, recovering both of the global linear parametric registration model and the corresponding local pixel-wise deformation field simultaneously through a gradient-descent method, and integrating at least one global linear parametric registration model with local deformations from at least one corresponding local pixel-wise deformation field to assess the source shape; an optimizing unit in signal communication with the integrating unit for optimizing a functional defined on a parameter or feature space, the functional quantifying the similarity between the source shape and at least one target shape or target shape clone in terms of distance functions; and a registration unit in signal communication with the tracking unit for registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
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7. A system for non-rigid image registration using distance functions, the system comprising:
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receiving means for receiving a source shape comprising uncertainties and a target shape; cloning means in signal communication with the optimizing means for creating an augmented registration space comprising a plurality of target shape clones coherently positioned in the information space; integrating means in signal communication with the receiving means for considering a global linear parametric registration model and a corresponding local pixel-wise deformation field resulting in a non-rigid registration paradigm for the target shape, recovering both of the global linear parametric registration model and the corresponding local pixel-wise deformation field simultaneously through a gradient-descent method, and integrating at least one global linear parametric registration model with local deformations from at least one corresponding local pixel-wise deformation field to assess the source shape; optimizing means in signal communication with the integrating means for optimizing a functional defined on a parameter or feature space, the functional quantifying the similarity between the source shape and at least one target shape or target shape clone in terms of distance functions; and registration means in signal communication with the tracking means for registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
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8. A computer program storage device read able by a computer, tangibly embodying a program of instructions executable by the computer to perform program steps for non-rigid image registration using distance functions, the program steps comprising:
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receiving a source shape comprising uncertainties and a target shape; creating an augmented registration space comprising a plurality of target shape clones coherently positioned in the information space; considering a global linear parametric registration model and a corresponding local pixel-wise deformation field resulting in a non-rigid registration paradigm for the target shape, recovering both of the global linear parametric registration model and the corresponding local pixel-wise deformation field simultaneously through a gradient-descent method, and integrating at least one global linear parametric registration model with local deformations from at least one corresponding local pixel-wise deformation field to assess the source shape; optimizing a functional defined on a parameter or feature space, the functional quantifying the similarity between the source shape and at least one target shape or target shape clone in terms of distance functions; and registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
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- 19. A method as defined in 18 wherein a global-to-local registration is optimized in accordance with the local quality of the model.
Specification