Title :
Predicting ejection fraction improvement by mechanical model and cine magnetic resonance images
Author :
Han, Hai-Chao ; Oshinski, John N. ; Pettigrew, Roderic I. ; Ku, David N.
Author_Institution :
Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A mechanical model based on cine magnetic resonance images was developed to predict left ventricle ejection fraction improvement after revascularization. This fast and accurate prediction can assist cardiologists in making decisions for revascularization. Accurate prediction would also reduce patient risk and health care cost by eliminating unnecessary operations
Keywords :
biomedical MRI; blood vessels; cardiovascular system; medical image processing; physiological models; cine magnetic resonance images; coronary artery disease; ejection fraction improvement prediction; hibernation size index; left ventricle ejection fraction; mechanical model; myocardium; reduced patient risk; revascularization; Biomedical imaging; Cardiology; Coronary arteriosclerosis; Costs; Magnetic resonance; Mechanical engineering; Medical services; Myocardium; Predictive models; Radiology;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802236
