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Proceedings Paper

Fast 3D fluid registration of brain magnetic resonance images
Author(s): Natasha Leporé; Yi-Yu Chou; Oscar L. Lopez; Howard J. Aizenstein; James T. Becker; Arthur W. Toga; Paul M. Thompson
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Paper Abstract

Fluid registration is widely used in medical imaging to track anatomical changes, to correct image distortions, and to integrate multi-modality data. Fluid mappings guarantee that the template image deforms smoothly into the target, without tearing or folding, even when large deformations are required for accurate matching. Here we implemented an intensity-based fluid registration algorithm, accelerated by using a filter designed by Bro-Nielsen and Gramkow. We validated the algorithm on 2D and 3D geometric phantoms using the mean square difference between the final registered image and target as a measure of the accuracy of the registration. In tests on phantom images with different levels of overlap, varying amounts of Gaussian noise, and different intensity gradients, the fluid method outperformed a more commonly used elastic registration method, both in terms of accuracy and in avoiding topological errors during deformation. We also studied the effect of varying the viscosity coefficients in the viscous fluid equation, to optimize registration accuracy. Finally, we applied the fluid registration algorithm to a dataset of 2D binary corpus callosum images and 3D volumetric brain MRIs from 14 healthy individuals to assess its accuracy and robustness.

Paper Details

Date Published: 12 March 2008
PDF: 8 pages
Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69160Z (12 March 2008); doi: 10.1117/12.774338
Show Author Affiliations
Natasha Leporé, UCLA School of Medicine (United States)
Yi-Yu Chou, UCLA School of Medicine (United States)
Oscar L. Lopez, Univ. of Pittsburgh (United States)
Howard J. Aizenstein, Univ. of Pittsburgh (United States)
James T. Becker, UCLA School of Medicine (United States)
Arthur W. Toga, UCLA School of Medicine (United States)
Paul M. Thompson, UCLA School of Medicine (United States)

Published in SPIE Proceedings Vol. 6916:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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