Gaining Insights Into Multiple Sclerosis Lesion Characteristics from Brain Tissue Microstructure Information: A Multi-Compartment T2 Relaxometry Approach

Sudhanya Chatterjee 1, * Olivier Commowick 1 Simon Warfield 2 Christian Barillot 1
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U1228, Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
2 CRL - Computational Radiology Laboratory [Boston]
Abstract : Clinical trends and pathogenetic ways of onset and progression of Multiple Sclerosis (MS) in patients suggest that MS is a highly heterogeneous disease. MS is predominantly a White Matter (WM) disease, which is mainly composed of myelinated axons and neuroglia type cells. Demyelination and axonal loss characterize the condition of MS in a patient. However, they follow varying trends in patients. In this work, we propose a method in which T2 relaxometry data is used to obtain a quantitative brain tissue microstructure information. This information is then studied to check its corroborations with pathogenetic understanding of MS in literature.
Keywords : Relaxometry Multi-compartimental models Multiple Sclerosis MS MRI
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Sudhanya Chatterjee, Olivier Commowick, Simon Warfield, Christian Barillot. Gaining Insights Into Multiple Sclerosis Lesion Characteristics from Brain Tissue Microstructure Information: A Multi-Compartment T2 Relaxometry Approach. ISMRM 25TH ANNUAL MEETING & EXHIBITION, Apr 2017, Honolulu, Hawaii, USA, United States. ⟨inserm-01543061⟩

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