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Conference papers

Adaptive RR Prediction for Cardiac MRI

Abstract : Cardiac Magnetic Resonance Imaging (MRI) is very challenging due to the perpetual heart movements. This movement is pseudo- periodic and implies several issues for image Acquisition. Building a single image requires several shots, done on a specific timing of the cardiac cycle. Nowadays the heart rate is estimated before imaging and then it is assumed not to evolve during acquisition. Additionaly, in order to remove motion artifacts, the patients are asked to perform breathholds. Unfortunately, while performing a breath-hold, the heart rate is changing in a significant way. To address this problem in the framework of clinical applications, we propose a simple method to predict the out-coming RR interval, in order to compute adapted MR parameters. The RR interval is the time separating two consecutive R waves and corresponds to one cardiac cycle. Due to its simplicity this method is clinically applicable. The prediction is performed by modelling the Heart Rate Variation as a linear combination of different sensors (here, respiratory sensor and amplitude of R wave). We evaluated this method on five healthy subjects in a clinical setup.
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Contributor : Fabienne Munier Connect in order to contact the contributor
Submitted on : Monday, April 28, 2008 - 3:18:30 PM
Last modification on : Saturday, November 27, 2021 - 4:42:02 PM
Long-term archiving on: : Friday, May 28, 2010 - 5:54:36 PM


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  • HAL Id : hal-00276137, version 1



Julien Oster, Olivier Pietquin, Gilles Bosser, Jacques Felblinger. Adaptive RR Prediction for Cardiac MRI. ICASSP 2008, Apr 2008, Las Vegas, United States. pp.513-516. ⟨hal-00276137⟩



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