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Supercomputing in medical imaging

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1 Author(s)
S. C. Orphanoudakis ; Dept. of Diagnostic Imaging, Yale Univ. Med. Sch., New Haven, CT, USA

It is suggested that the diagnostic imaging department of the future will make extensive use of computer networks, mass storage devices, and sophisticated workstations at which humans and machines will interact, assisted by techniques of computer vision and artificial intelligence, to achieve integration of multimodality imaging information and expert medical knowledge. Recent developments in medical imaging are described, and manipulation, display, and analysis techniques that are likely to benefit from supercomputing are examined. The following image processing tasks are discussed; restoration of images; spatial and temporal image and image sequence analysis; image restoration; mathematical image reconstruction from projections; and three-dimensional image analysis. Current trends and future efforts are discussed.<>

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:7 ,  Issue: 4 )