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Proceedings Paper

An unsupervised approach for measuring myocardial perfusion in MR image sequences
Author(s): Antoine Discher; Nicolas Rougon; Francoise Preteux
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Paper Abstract

Quantitatively assessing myocardial perfusion is a key issue for the diagnosis, therapeutic planning and patient follow-up of cardio-vascular diseases. To this end, perfusion MRI (p-MRI) has emerged as a valuable clinical investigation tool thanks to its ability of dynamically imaging the first pass of a contrast bolus in the framework of stress/rest exams. However, reliable techniques for automatically computing regional first pass curves from 2D short-axis cardiac p-MRI sequences remain to be elaborated. We address this problem and develop an unsupervised four-step approach comprising: (i) a coarse spatio-temporal segmentation step, allowing to automatically detect a region of interest for the heart over the whole sequence, and to select a reference frame with maximal myocardium contrast; (ii) a model-based variational segmentation step of the reference frame, yielding a bi-ventricular partition of the heart into left ventricle, right ventricle and myocardium components; (iii) a respiratory/cardiac motion artifacts compensation step using a novel region-driven intensity-based non rigid registration technique, allowing to elastically propagate the reference bi-ventricular segmentation over the whole sequence; (iv) a measurement step, delivering first-pass curves over each region of a segmental model of the myocardium. The performance of this approach is assessed over a database of 15 normal and pathological subjects, and compared with perfusion measurements delivered by a MRI manufacturer software package based on manual delineations by a medical expert.

Paper Details

Date Published: 30 August 2005
PDF: 12 pages
Proc. SPIE 5916, Mathematical Methods in Pattern and Image Analysis, 59160C (30 August 2005); doi: 10.1117/12.621358
Show Author Affiliations
Antoine Discher, GET/Institut National des Telecommunications (France)
Nicolas Rougon, GET/Institut National des Telecommunications (France)
Francoise Preteux, GET/Institut National des Telecommunications (France)

Published in SPIE Proceedings Vol. 5916:
Mathematical Methods in Pattern and Image Analysis
Jaakko T. Astola; Ioan Tabus; Junior Barrera, Editor(s)

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