Skip to Main content Skip to Navigation
New interface
Journal articles

Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke

Mathilde Giacalone 1 Carole Frindel 2 Marc Robini 3 Frédéric Cervenansky 4 Emmanuel Grenier 5 David Rousseau 2 
2 Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
3 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé : 139739
4 Service Informatique et développements
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
5 NUMED - Numerical Medicine
UMPA-ENSL - Unité de Mathématiques Pures et Appliquées, Inria Grenoble - Rhône-Alpes
Abstract : Purpose: The robustness of a recently introduced globally convergent deconvolution algorithm with temporal and edge-preserving spatial regularization for the deconvolution of dynamic susceptibility contrast perfusion magnetic resonance imaging is assessed in the context of ischemic stroke.Theory and methods: Ischemic tissues are not randomly distributed in the brain but form a spatially organized entity. The addition of a spatial regularization term allows to take into account this spatial organization contrarily to the sole temporal regularization approach which processes each voxel independently. The robustness of the spatial regularization in relation to shape variability, hemodynamic variability in tissues, noise in the magnetic resonance imaging apparatus, and uncertainty on the arterial input function selected for the deconvolution is addressed via an original in silico validation approach.Results: The deconvolution algorithm proved robust to the different sources of variability, outperforming temporal Tikhonov regularization in most realistic conditions considered. The limiting factor is the proper estimation of the arterial input function.Conclusion: This study quantified the robustness of a spatio-temporal approach for dynamic susceptibility contrast-magnetic resonance imaging deconvolution via a new simulator. This simulator, now accessible online, is of wide applicability for the validation of any deconvolution algorithm.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-01571763
Contributor : Béatrice Rayet Connect in order to contact the contributor
Submitted on : Thursday, August 3, 2017 - 2:57:36 PM
Last modification on : Tuesday, October 25, 2022 - 4:19:34 PM

Identifiers

Citation

Mathilde Giacalone, Carole Frindel, Marc Robini, Frédéric Cervenansky, Emmanuel Grenier, et al.. Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke. Magnetic Resonance in Medicine, 2017, 78 (5), pp.1981-1990 ⟨10.1002/mrm.26573⟩. ⟨hal-01571763⟩

Share

Metrics

Record views

132