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Virtual coronary cineangiography
I Lebar Bajec1, P Trunk, D Oseli
1Faculty of Computer and Information Science, University of Ljubljana, Trzaska cesta 25, Ljubljana 1000, Slovenia. iztok.bajec@fri.uni-lj.si
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.