Variational Framework for Assessment of the Left Ventricle Motion

J. Garcia-Barnés; D. Gil; S. Pujadas; F. Carreras

Mathematical Modelling of Natural Phenomena (2008)

  • Volume: 3, Issue: 6, page 76-100
  • ISSN: 0973-5348

Abstract

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Impairment of left ventricular contractility due to cardiovascular diseases is reflected in left ventricle (LV) motion patterns. An abnormal change of torsion or long axis shortening LV values can help with the diagnosis and follow-up of LV dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread medical imaging modality that allows estimation of the myocardial tissue local deformation. In this work, we introduce a novel variational framework for extracting the left ventricle dynamics from TMR sequences. A bi-dimensional representation space of TMR images given by Gabor filter banks is defined. Tracking of the phases of the Gabor response is combined using a variational framework which regularizes the deformation field just at areas where the Gabor amplitude drops, while restoring the underlying motion otherwise. The clinical applicability of the proposed method is illustrated by extracting normality models of the ventricular torsion from 19 healthy subjects.

How to cite

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Garcia-Barnés, J., et al. " Variational Framework for Assessment of the Left Ventricle Motion." Mathematical Modelling of Natural Phenomena 3.6 (2008): 76-100. <http://eudml.org/doc/222356>.

@article{Garcia2008,
abstract = { Impairment of left ventricular contractility due to cardiovascular diseases is reflected in left ventricle (LV) motion patterns. An abnormal change of torsion or long axis shortening LV values can help with the diagnosis and follow-up of LV dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread medical imaging modality that allows estimation of the myocardial tissue local deformation. In this work, we introduce a novel variational framework for extracting the left ventricle dynamics from TMR sequences. A bi-dimensional representation space of TMR images given by Gabor filter banks is defined. Tracking of the phases of the Gabor response is combined using a variational framework which regularizes the deformation field just at areas where the Gabor amplitude drops, while restoring the underlying motion otherwise. The clinical applicability of the proposed method is illustrated by extracting normality models of the ventricular torsion from 19 healthy subjects. },
author = {Garcia-Barnés, J., Gil, D., Pujadas, S., Carreras, F.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {left ventricle dynamics; ventricular torsion; tagged magnetic resonance; motion tracking; variational framework; Gabor transform.},
language = {eng},
month = {12},
number = {6},
pages = {76-100},
publisher = {EDP Sciences},
title = { Variational Framework for Assessment of the Left Ventricle Motion},
url = {http://eudml.org/doc/222356},
volume = {3},
year = {2008},
}

TY - JOUR
AU - Garcia-Barnés, J.
AU - Gil, D.
AU - Pujadas, S.
AU - Carreras, F.
TI - Variational Framework for Assessment of the Left Ventricle Motion
JO - Mathematical Modelling of Natural Phenomena
DA - 2008/12//
PB - EDP Sciences
VL - 3
IS - 6
SP - 76
EP - 100
AB - Impairment of left ventricular contractility due to cardiovascular diseases is reflected in left ventricle (LV) motion patterns. An abnormal change of torsion or long axis shortening LV values can help with the diagnosis and follow-up of LV dysfunction. Tagged Magnetic Resonance (TMR) is a widely spread medical imaging modality that allows estimation of the myocardial tissue local deformation. In this work, we introduce a novel variational framework for extracting the left ventricle dynamics from TMR sequences. A bi-dimensional representation space of TMR images given by Gabor filter banks is defined. Tracking of the phases of the Gabor response is combined using a variational framework which regularizes the deformation field just at areas where the Gabor amplitude drops, while restoring the underlying motion otherwise. The clinical applicability of the proposed method is illustrated by extracting normality models of the ventricular torsion from 19 healthy subjects.
LA - eng
KW - left ventricle dynamics; ventricular torsion; tagged magnetic resonance; motion tracking; variational framework; Gabor transform.
UR - http://eudml.org/doc/222356
ER -

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