Multi-Compartment T2 Relaxometry Model Using Gamma Distribution Representations: A Framework for Quantitative Estimation of Brain Tissue Microstructures - Archive ouverte HAL Access content directly
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Multi-Compartment T2 Relaxometry Model Using Gamma Distribution Representations: A Framework for Quantitative Estimation of Brain Tissue Microstructures

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Abstract

Advanced MRI techniques (e.g. – d-MRI, MT, relaxometry etc.) can provide quantitative information of brain tissues. Image voxels are often heterogeneous in terms of microstructure information due to physical limitations and imaging resolution. Quantitative assessment of the brain tissue microstructure can provide valuable insights into neurodegenerative diseases (e.g. - Multiple Sclerosis). In this work, we propose a multicompartment model for T2-Relaxometry to obtain brain microstructure information in a quantitative framework. The proposed method allows simultaneous estimation of the model parameters.
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Dates and versions

inserm-01543073 , version 1 (20-06-2017)

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  • HAL Id : inserm-01543073 , version 1

Cite

Sudhanya Chatterjee, Olivier Commowick, Simon K. Warfield, Christian Barillot. Multi-Compartment T2 Relaxometry Model Using Gamma Distribution Representations: A Framework for Quantitative Estimation of Brain Tissue Microstructures. ISMRM 25TH ANNUAL MEETING & EXHIBITION, Apr 2017, Honolulu, Hawaii, USA, United States. ⟨inserm-01543073⟩
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