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Dedicated diffusion phantoms for the investigation of free water elimination and mapping: insights into the influence of T 2 relaxation properties
Author(s) -
Farrher Ezequiel,
Grinberg Farida,
Kuo LiWei,
Cho KuanHung,
Buschbeck Richard P.,
Chen MingJye,
Chiang HusanHan,
Choi ChangHoon,
Shah N. Jon
Publication year - 2020
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.4210
Subject(s) - diffusion mri , free water , voxel , compartment (ship) , diffusion , relaxation (psychology) , tractography , anisotropy , nuclear magnetic resonance , tensor (intrinsic definition) , computer science , biomedical engineering , biological system , materials science , chemistry , magnetic resonance imaging , physics , mathematics , environmental science , geology , neuroscience , thermodynamics , artificial intelligence , optics , medicine , biology , radiology , geometry , oceanography , environmental engineering
Conventional diffusion‐weighted (DW) MRI suffers from free water contamination due to the finite voxel size. The most common case of free water contamination occurs with cerebrospinal fluid (CSF) in voxels located at the CSF‐tissue interface, such as at the ventricles in the human brain. Another case refers to intra‐tissue free water as in vasogenic oedema. In order to avoid the bias in diffusion metrics, several multi‐compartment methods have been introduced, which explicitly model the presence of a free water compartment. However, fitting multi‐compartment models in DW MRI represents a well known ill conditioned problem. Although during the last decade great effort has been devoted to mitigating this estimation problem, the research field remains active. The aim of this work is to introduce the design, characterise the NMR properties and demonstrate the use of two dedicated anisotropic diffusion fibre phantoms, useful for the study of free water elimination (FWE) and mapping models. In particular, we investigate the recently proposed FWE diffusion tensor imaging approach, which takes explicit account of differences in the transverse relaxation times between the free water and tissue compartments.