@InProceedings{Supelec384,
author = {Julien Oster and Olivier Pietquin and Gilles Bosser and Jacques Felblinger},
title = {{Adaptive RR Prediction for Cardiac MRI}},
year = {2008},
booktitle = {{Proceedings of the 33rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)}},
pages = {513-516},
month = {April},
address = {Las Vegas (NV, USA)},
url = {http://hal-supelec.archives-ouvertes.fr/hal-00276137/fr/},
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.}
}