title: Nonrigid medical image registration based on mesh deformation constraints.
abstract: 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.
authors: Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. linxbo@dlut.edu.cn
authors: XiangBo
authors: X
authors: Lin
authors: Su
authors: S
authors: Ruan
authors: TianShuang
authors: T
authors: Qiu
authors: DongMei
authors: D
authors: Guo
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D011487:Protein Conformation; D015203:Reproducibility of Results; D012984:Software; D013382:Subtraction Technique