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An Evaluation of Tetrahedral Mesh Generation for Non-Rigid Registration of Brain MRI

 

Panagiotis Foteinos, Yixun Liu, Andrey Chernikov and Nikos Chrisochoides.

 

Published in Computational Biomechanics for Medicine V, 13^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop, pages 126 -- 137, September, 2010

 

Abstract

 

In this paper, we assess the impact of mesh generation on Non-Rigid Registration of brain MR images. The solution accuracy and the speed of finite element solvers depend on how well the underlying mesh approximates the surface of the biological object (fidelity) and how well the elements of this mesh are shaped (quality). Fidelity and quality, however, are two contradicting requirements, as increased fidelity usually implies poor quality and vice versa. In this paper, we evaluate three public mesh generators and examine how this quality-fidelity trade-off affects the accuracy and the speed of non-rigid registration solvers for brain images.