Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis
Abstract
Regional myocardial wall motion analysis has been used in clinical routine to assess myocardial disease, such as infarction and hypertrophy. These diseases can be distinguished from normals by looking at the local abnormality of cardiac motion. In this paper, we present a first result of a feature extraction experiment using the Independent Component Analysis (ICA), where abnormal patterns of myocardial contraction from patients are recognizable and distinguishable from normal subjects.
Cite
Text
Suinesiaputra et al. "Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-27816-0_7Markdown
[Suinesiaputra et al. "Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/suinesiaputra2004eccv-extraction/) doi:10.1007/978-3-540-27816-0_7BibTeX
@inproceedings{suinesiaputra2004eccv-extraction,
title = {{Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis}},
author = {Suinesiaputra, Avan and Frangi, Alejandro F. and Üzümcü, Mehmet and Reiber, Johan H. C. and Lelieveldt, Boudewijn P. F.},
booktitle = {European Conference on Computer Vision},
year = {2004},
pages = {75-86},
doi = {10.1007/978-3-540-27816-0_7},
url = {https://mlanthology.org/eccv/2004/suinesiaputra2004eccv-extraction/}
}