Iztok Lebar Bajec and Primož Trunk and Damjan Oseli and Nikolaj Zimic (2003) Virtual Coronary Cineangiography. Computers in Biology and Medicine, 33 (3). pp. 293-302.
Abstract
The mastering of myocardial infarction diagnosis is traditionally composed of laborious trial and error based examination of canonical coronary cineangiographies. In the following article we suggest a system that enables the instructor to generate student specific cases, thus allowing teaching not only the basic feature searching and stenosis evaluation processes, but also the importance of the correct acquisition viewpoint. With the proposal of the development of the Digital Cardiologist intelligent agent we also envisage the possibility of the student's self-tutoring.
| Item Type: | Article |
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| Keywords: | virtual reality, coronary angiography, stenosis diagnosis, stenosis quantification, medical training tool |
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| Language of Content: | English |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Computer Structures and Systems Laboratory |
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| Item ID: | 171 |
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| Date Deposited: | 23 Mar 2005 |
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| Last Modified: | 05 Dec 2013 11:39 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/171 |
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