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Proceedings Paper

Analysis of first-pass myocardial perfusion MRI using independent component analysis
Author(s): Julien Milles; Rob J. van der Geest; Michael Jerosch-Herold; Johan H. C. Reiber; Boudewijn P. F. Lelieveldt
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Paper Abstract

Myocardial perfusion MRI has emerged as a suitable imaging technique for the detection of ischemic regions of the heart. However, manual post-processing is labor intensive, seriously hampering its daily clinical use. We propose a novel, data driven analysis method based on Independent Component Analysis (ICA). By performing ICA on the complete perfusion sequence, physiologically meaningful feature images, representing events occurring during the perfusion sequence, can be factored out. Results obtained using our method are compared with results obtained using manual contouring by a medical expert. The estimated weight functions are correlated against the perfusion time-intensity curves from manual contours, yielding promising results.

Paper Details

Date Published: 10 March 2006
PDF: 9 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61441R (10 March 2006); doi: 10.1117/12.653094
Show Author Affiliations
Julien Milles, Leiden Univ. Medical Ctr. (Netherlands)
Rob J. van der Geest, Leiden Univ. Medical Ctr. (Netherlands)
Michael Jerosch-Herold, Oregon Health and Science Univ. (United States)
Johan H. C. Reiber, Leiden Univ. Medical Ctr. (Netherlands)
Boudewijn P. F. Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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