title: Towards in vivo diffusion tensor MRI on human heart using edge-preserving regularization.
abstract: We investigate the noise sensitivity in various Diffusion Tensor MRI acquisition protocols in sixteen human ex vivo hearts. In particular, we compare the accuracy of protocols with various numbers of excitations and diffusion sensitizing directions for estimating the principal diffusion directions in the myocardium. It is observed that noise sensitivity decreases as the number of excitations and the number of sensitizing directions increase (and hence as the acquisition time increases). To reduce the effects of noise and to improve the results obtained with a smaller number of excitations and/or a smaller number of sensitizing directions, we introduce a 3-D edge-preserving regularization method operating on diffusion weighted images. It allows to maintain the quality of the principal diffusion direction field while minimizing the acquisition time, which is a necessary step for in vivo diffusion tensor MR imaging of the human heart.
authors.affiliation: CREATIS (UMR CNRS 5220 and INSERM U630), INSA de Lyon, 69621 Villeurbanne Cedex, France. Carole.Frindel@creatis.insa-lyon.fr
authors.forename: Carole
authors.initials: C
authors.lastname: Frindel
authors.forename: Marc
authors.initials: M
authors.lastname: Robini
authors.forename: Stanislas
authors.initials: S
authors.lastname: Rapacchi
authors.forename: Eric
authors.initials: E
authors.lastname: Stephant
authors.forename: Yue-Min
authors.initials: YM
authors.lastname: Zhu
authors.forename: Pierre
authors.initials: P
authors.lastname: Croisille
mesh_terms: D000465:Algorithms; D002311:Cardiomyopathy, Dilated / Q000175:diagnosis*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009206:Myocardium / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity