Knowledge-Based Identification of Artery Branches in Cine-Angiograms
Abstract
This paper describes an image understanding system which interprets line segments detected In cine-angiograms, cine-film records of radiographic images of coronary arteries, into a model of the arterial system based on expert knowledge on the artery. A production system accesses rules on shapes and structures of the blood vessels to evaluate the geometrical parameters of sequences of segments, and a tree of hypotheses on the Identities of the individual segments in each view Is generated. Finally, the hypotheses obtained from different views are integrated to find a more reliable Interpretation of the images.
Cite
Text
Tsuji and Nakano. "Knowledge-Based Identification of Artery Branches in Cine-Angiograms." International Joint Conference on Artificial Intelligence, 1981.Markdown
[Tsuji and Nakano. "Knowledge-Based Identification of Artery Branches in Cine-Angiograms." International Joint Conference on Artificial Intelligence, 1981.](https://mlanthology.org/ijcai/1981/tsuji1981ijcai-knowledge/)BibTeX
@inproceedings{tsuji1981ijcai-knowledge,
title = {{Knowledge-Based Identification of Artery Branches in Cine-Angiograms}},
author = {Tsuji, Saburo and Nakano, Hidetoshi},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1981},
pages = {710-715},
url = {https://mlanthology.org/ijcai/1981/tsuji1981ijcai-knowledge/}
}