Faculty Collaboration Database

Fast multicomponent 3D-T_1ρ relaxometry. NMR Biomed 2020 Dec;33(12):e4318

Date

05/03/2020

Pubmed ID

32359000

Pubmed Central ID

PMC7606711

DOI

10.1002/nbm.4318

Scopus ID

2-s2.0-85084236017 (requires institutional sign-in at Scopus site)   5 Citations

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.

Author List

Zibetti MVW, Helou ES, Sharafi A, Regatte RR

Author

Azadeh Sharafi PhD Assistant Professor in the Radiology department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Algorithms
Animals
Cartilage, Articular
Cattle
Liver
Magnetic Resonance Imaging
Phantoms, Imaging