Back to Search
Start Over
3D vector MR elastography applications in small organs.
- Source :
-
Magnetic resonance imaging [Magn Reson Imaging] 2024 Oct; Vol. 112, pp. 54-62. Date of Electronic Publication: 2024 Jun 21. - Publication Year :
- 2024
-
Abstract
- Background: Magnetic resonance elastography (MRE) is a rapidly developing medical imaging technique that allows for quantitative assessment of the biomechanical properties of the tissue. MRE is now regarded as the most accurate noninvasive test for detecting and staging liver fibrosis. A two-dimensional (2D MRE) acquisition version is currently deployed at >2000 locations worldwide. 2D MRE allows for the evaluation of the magnitude of the complex shear modulus, also referred to as stiffness. The development of 3D vector MRE has enabled researchers to assess the biomechanical properties of small organs where wave propagation cannot be adequately analyzed with the 2D MRE imaging approach used in the liver. In 3D vector MRE, the shear waves are imaged and processed throughout a 3D volume and processed with an algorithm that accounts for wave propagation in any direction. Additionally, the motion is also imaged in x, y, and z directions at each voxel, allowing for more advanced processing to be applied.<br />Purpose: This review describes the technical principles of 3D vector MRE, surveys its clinical applications in small organs, and discusses potential clinical significance of 3D vector MRE.<br />Conclusion: 3D vector MRE is a promising tool for characterizing the biomechanical properties of small organs such as the uterus, pancreas, thyroid, prostate, and salivary glands. However, its potential has not yet been fully explored.<br />Competing Interests: Declaration of competing interest The Mayo Clinic, R.L.E., and J.C. have intellectual property rights and a financial interest in magnetic resonance elastography technology. The remaining authors declare no conflict of interest.<br /> (Copyright © 2024 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-5894
- Volume :
- 112
- Database :
- MEDLINE
- Journal :
- Magnetic resonance imaging
- Publication Type :
- Academic Journal
- Accession number :
- 38909764
- Full Text :
- https://doi.org/10.1016/j.mri.2024.06.005