DocumentCode :
871534
Title :
Supercomputing in medical imaging
Author :
Orphanoudakis, S.C.
Author_Institution :
Dept. of Diagnostic Imaging, Yale Univ. Med. Sch., New Haven, CT, USA
Volume :
7
Issue :
4
fYear :
1988
Firstpage :
16
Lastpage :
20
Abstract :
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.<>
Keywords :
medical diagnostic computing; reviews; artificial intelligence; computer networks; computer vision; expert medical knowledge; image restoration; image sequence analysis; mass storage devices; mathematical image reconstruction; medical diagnostic imaging; medical imaging; supercomputing; workstations; Artificial intelligence; Biomedical imaging; Computer networks; Computer vision; Humans; Image restoration; Image sequence analysis; Image storage; Medical diagnostic imaging; Workstations;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.20375
Filename :
20375
Link To Document :
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