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Multi-compartment model of brain tissues from T2 relaxometry MRI using gamma distribution

文献类型： 会议论文

第一作者： Sudhanya Chatterjee

作者： Sudhanya Chatterjee 1 ; Olivier Commowick 1 ; Onur Afacan 1 ; Simon K. Warfield 2 ; Christian Barillot;

作者机构： 1.VisAGeS U1228 INSERM/Inria, IRISA UMR CNRS 6074, University of Rennes 1, France

2.VisAGeS U1228 I

关键词： Lesions;Estimation;Axons;Magnetic resonance imaging;Optimization;Brain modeling;Probability density function

会议名称： IEEE International Symposium on Biomedical Imaging

主办单位：

页码： 141-144

摘要： The brain microstructure, especially myelinated axons and free fluids, may provide useful insight into brain neurodegenerative diseases such as multiple sclerosis (MS). These may be distinguished based on their transverse relaxation times which can be measured using T2 relaxometry MRI. However, due to physical limitations on achievable resolution, each voxel contains a combination of these tissues, rendering the estimation complex. We present a novel multi-compartment T2 (MCT2) estimation based on variable projection, applicable to any MCT2 microstructure model. We derive this estimation for a three-gamma distribution model. We validate our framework on synthetic data and illustrate its potential on healthy volunteer and MS patient data.

分类号： tp391.41-53

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