Nonrigid Medical Image Registration Based on Mesh Deformation Constraints

Regularizing the deformation field is an important aspect in nonrigid medical image registration. By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices. The connection relationship is preserved by the...

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Veröffentlicht in:Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-8
Hauptverfasser: Lin, XiangBo, Ruan, Su, Qiu, Tianshuang, Guo, DongMei
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container_title Computational and mathematical methods in medicine
container_volume 2013
creator Lin, XiangBo
Ruan, Su
Qiu, Tianshuang
Guo, DongMei
description Regularizing the deformation field is an important aspect in nonrigid medical image registration. By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices. The connection relationship is preserved by the spring analogy method. The method is evaluated by registering cerebral magnetic resonance imaging (MRI) image data obtained from different individuals. Experimental results show that the proposed method has good deformation ability and topology-preserving ability, providing a new way to the nonrigid medical image registration.
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subjects Algorithms
Brain - pathology
Brain Mapping - methods
Computer Simulation
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging - methods
Models, Statistical
Protein Conformation
Reproducibility of Results
Software
Subtraction Technique
title Nonrigid Medical Image Registration Based on Mesh Deformation Constraints
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