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

Xiaofen Zheng; Jayaram K. Udupa; Xinjian Chen

doi:10.1117/12.814245

13 March 2009 Cluster of workstation based nonrigid image registration using free-form deformation

Xiaofen Zheng, Jayaram K. Udupa, Xinjian Chen

Proceedings Volume 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling; 72611N (2009) https://doi.org/10.1117/12.814245
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Xiaofen Zheng, Jayaram K. Udupa, and Xinjian Chen "Cluster of workstation based nonrigid image registration using free-form deformation", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72611N (13 March 2009); https://doi.org/10.1117/12.814245

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