Fiche publication
Date publication
mars 2022
Journal
Diagnostics (Basel, Switzerland)
Auteurs
Membres identifiés du Cancéropôle Est :
Pr FELBLINGER Jacques
Tous les auteurs :
Le Bars AL, Moulin K, Ennis DB, Felblinger J, Chen B, Odille F
Lien Pubmed
Résumé
A super-resolution (SR) technique is proposed for imaging myocardial fiber architecture with cardiac magnetic resonance. Images were acquired with a motion-compensated cardiac diffusion tensor imaging (cDTI) sequence. The heart left ventricle was covered with three stacks of thick slices, in short axis, horizontal and vertical long axes orientations, respectively. The three low-resolution stacks (2 × 2 × 8 mm) were combined into an isotropic volume (2 × 2 × 2 mm) by a super-resolution reconstruction. For in vivo measurements, each slice was acquired during a breath-hold period. Bulk motion was corrected by optimizing a similarity metric between intensity profiles from all intersecting slices in the dataset. The benefit of the proposed approach was evaluated using a numerical heart phantom, a physical helicoidal phantom with artificial fibers, and six healthy subjects. The SR technique showed improved results compared to the native scans, in terms of image quality and cDTI metrics. In particular, the myocardial helix angle (HA) was more accurately estimated in the physical phantom (HA = 41.5° ± 1.1°, with the ground truth being 42.0°). In vivo, it resulted in a sharper rate of change of HA across the myocardial wall (-0.993°/% ± 0.007°/% against -0.873°/% ± 0.010°/%).
Mots clés
cardiac magnetic resonance imaging, diffusion tensor imaging, motion correction, super-resolution reconstruction
Référence
Diagnostics (Basel). 2022 Mar 31;12(4):
