Literature DB >> 32359000

Fast multicomponent 3D-T relaxometry.

Marcelo V W Zibetti1, Elias S Helou2, Azadeh Sharafi1, Ravinder R Regatte1.   

Abstract

NMR relaxometry can provide information about the relaxation of the magnetization in different tissues, increasing our understanding of molecular dynamics and biochemical composition in biological systems. In general, tissues have complex and heterogeneous structures composed of multiple pools. As a result, bulk magnetization returns to its original state with different relaxation times, in a multicomponent relaxation. Recovering the distribution of relaxation times in each voxel is a difficult inverse problem; it is usually unstable and requires long acquisition time, especially on clinical scanners. MRI can also be viewed as an inverse problem, especially when compressed sensing (CS) is used. The solution of these two inverse problems, CS and relaxometry, can be obtained very efficiently in a synergistically combined manner, leading to a more stable multicomponent relaxometry obtained with short scan times. In this paper, we will discuss the details of this technique from the viewpoint of inverse problems.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  compressed sensing, fast imaging, inverse problems, multicomponent relaxometry, parallel imaging, quantitative MRI, regularization

Year:  2020        PMID: 32359000      PMCID: PMC7606711          DOI: 10.1002/nbm.4318

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  89 in total

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