Title :
Knowledge modeling for reconstruction of coronary networks
Author :
Windyga, P. ; Garreau, M. ; Lebreton, H.
Author_Institution :
LTSI-INSERM 335, Univ. de Rennes I, Rennes, France
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
This paper reports a long term work devoted to the modeling of arterial trees. It deals with different types of knowledge (e.g structural, morphological, geometric features) with examples in coronary networks. The emphasis is put on the interindividual variations which lead to significant difficulties in the modeling process. This work is part of a general framework aimed at the 3D-reconstruction of vessels from two views where the a priori knowledge is used to provide additional constraint facilitating the matching problem.
Keywords :
blood vessels; cardiovascular system; image matching; image reconstruction; knowledge representation; medical image processing; patient diagnosis; 3D vessel reconstruction; arterial tree; coronary network; geometric feature; interindividual variation; knowledge modeling; matching problem; morphological feature; structural feature; Arteries; Image reconstruction; Knowledge engineering; Lead; Solid modeling; Three dimensional displays;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761274
