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Proceedings Paper

Parallel constructs for three-dimensional registration on a SIMD (single-instruction stream/multiple-data stream) processor
Author(s): Craig A. Morioka; Kelby K. Chan; H. K. Huang
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Paper Abstract

Three-dimensional image registration is computationally intensive and therefore slow. Parallelizing the primitive computation processes involved in registration can decrease the time. Our approach for improving image processing speed is to utilize a massively parallel single instruction stream -- multiple data stream (SIMD) computer. This paper presents the performance results comparing a massively parallel architecture to a four processor vector/parallel system and a conventional serial computer.

Paper Details

Date Published: 1 June 1991
PDF: 5 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45250
Show Author Affiliations
Craig A. Morioka, UCLA School of Medicine (United States)
Kelby K. Chan, UCLA School of Medicine (United States)
H. K. Huang, UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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