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Abstract #1095

Is linear subspace constraint reconstruction suitable for multi-compartment T2 imaging? Evaluation and guidelines.

Nadège Corbin1,2, Trotier J. Aurélien 1, Laurent Petit3, Silvio Sarubbo4, Sylvain Miraux1, and Emeline J. Ribot1
1Centre de Résonance Magnétique et Systèmes Biologiques, UMR5536, CNRS, University of Bordeaux, Bordeaux, France, 2Wellcome Center for Human Neuroimaging, UCL Queen Square Institute of Neurology, University Coleege of London, London, United Kingdom, 3Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France, 4Department of Neurosurgery, Azienda Provinciale per i Servizi Sanitari, Santa Chiara Hospital, Trento, Italy

Synopsis

Keywords: Quantitative Imaging, Image Reconstruction, myelin water fractionMulti-compartment T2 imaging suffers from long acquisition time. Undersampling the k-space combined with advanced iterative reconstructions could be beneficial to reach a reasonable scan duration. This work investigates the suitability of linear subspace-based reconstruction for myelin water fraction and intra-extracellular T2 mapping. Our findings suggest that subspace-based reconstruction for intra-extra cellular T2 and myelin water fraction mapping can be reliably used in combination with spatial regularization enforcing sparsity. The temporal basis can be built from extended phase graph simulations and should include at least 12 components, especially for myelin water fraction mapping.

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Keywords