| Literature DB >> 32359000 |
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.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