Distributed maximum-intensity projection (partitioned-MIP) algorithm for visualizing medical data
Voxel-based three-dimensional object representation has been extensively used in medical imaging applications for the manipulation and visualization of volumetrically sampled data. This paper presents a partitioning strategy that allows general-purpose graphics workstations to be used for the {open_quote}hot-spot{close_quote} imaging of Magnetic Resonance Angiography (MRA), Computed Tomography Angiography (CTA), and Spiral CT data. Our divide-and-conquer approach creates sub-volumes that are projected in parallel, and merges the corresponding computed sub-images in image space to form the final image. Inter-processor communication is totally eliminated. This technique can also be applied in a uni-processor environment; in this case the original volume is partitioned so that each sub-volume fits into the on-chip cache, thereby minimizing miss-cache problems.
- OSTI ID:
- 125466
- Report Number(s):
- CONF-950212-; TRN: 95:005768-0010
- Resource Relation:
- Conference: 7. Society for Industrial and Applied Mathematics (SIAM) conference on parallel processing for scientific computing, San Francisco, CA (United States), 15-17 Feb 1995; Other Information: PBD: 1995; Related Information: Is Part Of Proceedings of the seventh SIAM conference on parallel processing for scientific computing; Bailey, D.H.; Bjorstad, P.E.; Gilbert, J.R. [eds.] [and others]; PB: 894 p.
- Country of Publication:
- United States
- Language:
- English
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