Document Detail


Virtual coronary cineangiography.
MedLine Citation:
PMID:  12726807     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
I Lebar Bajec; P Trunk; D Oseli; N Zimic
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computers in biology and medicine     Volume:  33     ISSN:  0010-4825     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2003 May 
Date Detail:
Created Date:  2003-05-02     Completed Date:  2003-10-07     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  293-302     Citation Subset:  IM    
Affiliation:
Faculty of Computer and Information Science, University of Ljubljana, Trzaska cesta 25, Ljubljana 1000, Slovenia. iztok.bajec@fri.uni-lj.si
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MeSH Terms
Descriptor/Qualifier:
Cineangiography / methods*
Computer Simulation*
Computer-Assisted Instruction*
Coronary Stenosis / classification,  diagnosis*
Humans
User-Computer Interface

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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