Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery
The aim of this project is to explore the possibility of using high performance computing technology and modern computational science and engineering to develop a diagnostic system for giving cardiologists an alternative angle of rationality and a quantitative assessment in the diagnosis of cardiov...
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sg-ntu-dr.10356-23102020-05-28T07:40:04Z Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery Murali Damodaran Jagath Chandana Rajapakse School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems The aim of this project is to explore the possibility of using high performance computing technology and modern computational science and engineering to develop a diagnostic system for giving cardiologists an alternative angle of rationality and a quantitative assessment in the diagnosis of cardiovascular diseases. Most cardiologists base their diagnosis of diseases almost exclusively by looking at images of organs such as X-ray or MRI scans etc. Decisions are based on the experience the cardiologists have acquired in their practice. High performance computing offers opportunities to apply computational mechanics to provide quantitative estimates based on the same very images the cardiologists use to make their decisions. In this report the development of one possible diagnostic system which will form one of the many possible tools for total Non-Invasive Cardiovascular Diagnostics Technology (NCDT) is described. 2008-09-17T08:04:58Z 2008-09-17T08:04:58Z 2005 2005 Research Report http://hdl.handle.net/10356/2310 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems Murali Damodaran Jagath Chandana Rajapakse Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
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The aim of this project is to explore the possibility of using high performance computing technology and modern computational science and engineering to develop a diagnostic system for giving cardiologists an alternative angle of rationality and a quantitative assessment in the diagnosis of cardiovascular diseases. Most cardiologists base their diagnosis of diseases almost exclusively by looking at images of organs such as X-ray or MRI scans etc. Decisions are based on the experience the cardiologists have acquired in their practice. High performance computing offers opportunities to apply computational mechanics to provide quantitative estimates based on the same very images the cardiologists use to make their decisions. In this report the development of one possible diagnostic system which will form one of the many possible tools for total Non-Invasive Cardiovascular Diagnostics Technology (NCDT) is described. |
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School of Computer Engineering |
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School of Computer Engineering Murali Damodaran Jagath Chandana Rajapakse |
format |
Research Report |
author |
Murali Damodaran Jagath Chandana Rajapakse |
author_sort |
Murali Damodaran |
title |
Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
title_short |
Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
title_full |
Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
title_fullStr |
Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
title_full_unstemmed |
Computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
title_sort |
computational assessment of cardiac pumping function and candidacy for coronary bypass surgery |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2310 |
_version_ |
1681056348758867968 |