An expert system for the labeling and 3D reconstruction of the coronary arteries from two projections

Author:

Smets Carl,van de Werf F.,Suetens P.,Oosterlinck A.

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference16 articles.

1. Reiber JHC. Morphologic and densitometric quantification of coronary stenoses; an overview of existing quantitation techniques. In: JHC Reiber, PW Serruys, eds. New developments in Quantitative Coronary Arteriography. Kluwer Academic Publishers, Dordrecht, 1988: 34–88.

2. Tsuji S, Nakano H. Knowledge-based identification of artery branches in cine-angiograms: an image understanding system which utilizes production-type knowledge. In: T Kitagawa, ed. Computer Science and Technologies. North-Holland, 1982: 311–321.

3. Ritchings RT, Colchester ACF, Wang HQ. Knowledge-based Analysis of Carotid Angiograms. Image and Vision Computing 1985; 3: 217–222.

4. Wang HQ, Ritchings RT, Colchester ACF. Image Understanding System for Carotid Angiograms. Image and Vision Computing 1987; 5: 79–83.

5. Elion JL, Nissen SE. A knowledge-based image processing system for the interpretation of coronary arteriograms. Proceedings of the SPIE 1987; 767: 428–432.

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