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Proceedings Paper

Cluster of workstation based nonrigid image registration using free-form deformation
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Paper Abstract

Nonrigid image registration plays an important role in medical application fields. Owing to its complex computations, it incurs high computational cost. In this paper, a parallel algorithm schema for nonrigid image registration methods that use B-splines for deformation and mutual information as a similarity measure is proposed. It involves a complex interplay of various steps which are analyzed in considerable detail from the view point of parallelizing registration. The algorithms are implemented on a cluster of workstations. We present some results on a 10 processor cluster of PCs and compare them with a sequential implementation. The results show that a speed up of n/2 for n processors in registering large images. The method is fully portable and seamlessly expandable.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611N (13 March 2009); doi: 10.1117/12.814245
Show Author Affiliations
Xiaofen Zheng, Univ. of Pennsylvania (United States)
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Xinjian Chen, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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