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Predicting ejection fraction improvement by mechanical model and cine magnetic resonance images

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4 Author(s)
Hai-Chao Han ; Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; Oshinski, J.N. ; Pettigrew, R.I. ; Ku, D.N.

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

Published in:

[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  (Volume:1 )

Date of Conference:

1999