Deformable Image Registration using Spring Mass System
Author(s) -
Jinting Shen,
Bogdan J. Matuszewski,
LikKwan Shark,
Christopher J. Moore
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.20.122
Subject(s) - image registration , computer science , spring (device) , computer vision , artificial intelligence , image (mathematics) , low resolution , deformation (meteorology) , high resolution , remote sensing , engineering , geology , structural engineering , oceanography
The paper describes a novel multi-resolution registration method. It is fast, robust and offers high registration accuracy. The algorithm models deformations using an elastic spring mass system, which contains sparse masses interconnected by springs. The proposed method uses data intensity values to guide deformation with local constraints imposed by interaction of interconnecting springs. Moreover, by using such system prior information about the data can by easily embedded into the system to improve the registration accuracy. The performance of the method is tested using simulated as well as real dynamic magnetic resonance image dMRI data.
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