DocumentCode :
3504090
Title :
Knowledge-based approach for recognizing 3-D pulmonary structure
Author :
Inaoka, Noriko ; Suzuki, Hideo ; Mori, Masaki ; Takabatake, Hirotsugu ; Suzuki, Akira
Author_Institution :
Fac. of Educ., Kumamoto Univ., Japan
fYear :
1988
fDate :
4-7 Nov. 1988
Firstpage :
1363
Abstract :
The authors present a computerized system for reconstructing the 3-D structures of pulmonary blood vessels from a set of X-ray CT images. The system uses a knowledge base in which anatomical knowledge and general rules concerning the way blood vessels extend are acquired. Others have already done some work on the automatic 3-D reconstruction of organs, but the authors have been analyzing ordinary chest X-ray CT images with 1-cm slices, and the object organs, pulmonary blood vessels, are slender. The system combines AI approaches with image-processing technologies.<>
Keywords :
computerised tomography; expert systems; lung; medical diagnostic computing; 3D structure reconstruction; X-ray CT images; anatomical knowledge; artificial intelligence; blood vessels; computerized system; image processing; knowledge-based approach; pulmonary blood vessels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
Type :
conf
DOI :
10.1109/IEMBS.1988.95171
Filename :
95171
Link To Document :
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