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Proceedings Paper

Multicomputer algorithms for reconstruction and postprocessing
Author(s): Iain Goddard; Jonathon Greene; Barry S. Isenstein; Francis P. Lauginiger; Liisa C. Walsh
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Paper Abstract

The increasing computational demands of medical imaging will exceed the capacity of standard microprocessors. For the most computationally intense problems, such as real-time scanning, parallel processing will be required. We evaluate the performance of a master-slave model of coarse-grained parallel processing on examples of reconstruction and postprocessing problems. We use a commercially available multicomputer system in configurations of from one through eight processors with distributed, shared memory. We examine a variety of 2D medical imaging problems ranging from pointwise operations, such as window-level, to global operations, such as 2D FFT. Parallel processing with the master-slave model is most efficient when data transfer among processors is minimized. This can be done by a combination of high-performance computer architecture and well-designed processing algorithms.

Paper Details

Date Published: 30 June 1993
PDF: 10 pages
Proc. SPIE 1897, Medical Imaging 1993: Image Capture, Formatting, and Display, (30 June 1993); doi: 10.1117/12.146985
Show Author Affiliations
Iain Goddard, Mercury Computer Systems, Inc. (United States)
Jonathon Greene, Mercury Computer Systems, Inc. (United States)
Barry S. Isenstein, Mercury Computer Systems, Inc. (United States)
Francis P. Lauginiger, Mercury Computer Systems, Inc. (United States)
Liisa C. Walsh, Mercury Computer Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 1897:
Medical Imaging 1993: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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