A Virtual Reality Toolkit for the Diagnosis and Monitoring of Myocardial Infarctions

Ryan, John; O Sullivan, Carol; Bell, Christopher; Mulvihill, Niall

A Virtual Reality Toolkit for the Diagnosis and Monitoring of Myocardial Infarctions

Files

055-062.pdf (1.8 MB)

Date

2005

Authors

Ryan, John
O Sullivan, Carol
Bell, Christopher
Mulvihill, Niall

Publisher

The Eurographics Association

Abstract

We have developed a software system that takes standard electrocardiogram (ECG) input and interprets this input along with user-defined and automatically defined markers to diagnose myocardial infarctions (MI). These pathologies are then automatically represented within a volumetric model of the heart. Over a period of six months 30 patients were monitored using a digital ECG system and this information was used to test and develop our system. It was found that the STEMIs (ST segment Elevation MI) were successfully diagnosed, however NSTEMIs (Non-STEMI), although correctly interpreted, were more ambiguous due to the fact that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken. The system correctly interpreted this data as being normal. A standard voxel-count metric was developed so that future work in MI monitoring will be possible. The toolkit was found to be beneficial for three possible uses, as a diagnostic tool for clinicians, as a teaching tool for students and also as an information tool for the patient.

        @inproceedings{:10.2312/VG/VG05/055-062
,
booktitle = {Volume Graphics 2005
},
editor = {Klaus Mueller and Thomas Ertl and Eduard Groeller
},
title = {{A Virtual Reality Toolkit for the Diagnosis and Monitoring of Myocardial Infarctions
}},
author = {Ryan, John and 
O Sullivan, Carol and 
Bell, Christopher and 
Mulvihill, Niall
},
year = {2005
},
publisher = {The Eurographics Association
},
ISSN = {1727-8376
},
ISBN = {3-905673-26-6
},
DOI = {/10.2312/VG/VG05/055-062
}
}