Nonrigid Registration of Monomodal MRI Using Linear Viscoelastic Model

Author:

Yang Jian1,Chen Yang2,Fan Jingfan1,Tang Songyuan1

Affiliation:

1. Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, China

2. Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China

Abstract

This paper describes a method for nonrigid registration of monomodal MRI based on physical laws. The proposed method assumes that the properties of image deformations are like those of viscoelastic matter, which exhibits the properties of both an elastic solid and a viscous fluid. Therefore, the deformation fields of the deformed image are constrained by both sets of properties. After global registration, the local shape variations are assumed to have the properties of the Maxwell model of linear viscoelasticity, and the deformation fields are constrained by the corresponding partial differential equations. To speed up the registration, an adaptive force is introduced according to the maximum displacement of each iteration. Both synthetic datasets and real datasets are used to evaluate the proposed method. We compare the results of the linear viscoelastic model with those of the fluid model on the basis of both the standard and adaptive forces. The results demonstrate that the adaptive force increases in both models and that the linear viscoelastic model improves the registration accuracy.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

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