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

Hai Chao Han, John N. Oshinski, Roderic I. Pettigrew, David N. Ku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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 ia making decisions for revascularization. Accurate prediction would also reduce patient risk and healthcare cost by eliminating unnecessary operations.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
Volume1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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