Math. Model. Nat. Phenom.
Volume 3, Number 6, 2008Medical imaging
|Page(s)||76 - 100|
|Published online||24 December 2008|
Variational Framework for Assessment of the Left Ventricle Motion
Computer Science Department of Universitat
Autònoma de Barcelona, Bellaterra, Spain
2 Computer Vision Center, Bellaterra, Spain
3 Department of Cardiology, Cardiac Imaging Unit, Hospital Sant Pau, Barcelona, Spain
Corresponding author: email@example.com
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.
Mathematics Subject Classification: 35A15 / 43A32
Key words: left ventricle dynamics / ventricular torsion / tagged magnetic resonance / motion tracking / variational framework / Gabor transform.
© EDP Sciences, 2008
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.