Multicomputer algorithms for reconstruction and postprocessing

Iain Goddard; Jonathon Greene; Barry S. Isenstein; Francis P. Lauginiger; Liisa C. Walsh

doi:10.1117/12.146985

30 June 1993 Multicomputer algorithms for reconstruction and postprocessing

Iain Goddard, Jonathon Greene, Barry S. Isenstein, Francis P. Lauginiger, Liisa C. Walsh

Proceedings Volume 1897, Medical Imaging 1993: Image Capture, Formatting, and Display; (1993) https://doi.org/10.1117/12.146985
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

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.

Citation Download Citation

Iain Goddard, Jonathon Greene, Barry S. Isenstein, Francis P. Lauginiger, and Liisa C. Walsh "Multicomputer algorithms for reconstruction and postprocessing", Proc. SPIE 1897, Medical Imaging 1993: Image Capture, Formatting, and Display, (30 June 1993); https://doi.org/10.1117/12.146985

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