دورية أكاديمية
Data inversion of multi-dimensional magnetic resonance in porous media
| العنوان: | Data inversion of multi-dimensional magnetic resonance in porous media |
|---|---|
| المؤلفون: | Fangrong Zong, Huabing Liu, Ruiliang Bai, Petrik Galvosas |
| المصدر: | Magnetic Resonance Letters, Vol 3, Iss 2, Pp 127-139 (2023) |
| بيانات النشر: | KeAi Communications Co. Ltd., 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Physical and theoretical chemistry LCC:Analytical chemistry |
| مصطلحات موضوعية: | Multi-dimensional MR, Data inversion, Porous media, Inverse Laplace transform, Fourier transform, Physical and theoretical chemistry, QD450-801, Analytical chemistry, QD71-142 |
| الوصف: | Since its inception in the 1970s, multi-dimensional magnetic resonance (MR) has emerged as a powerful tool for non-invasive investigations of structures and molecular interactions. MR spectroscopy beyond one dimension allows the study of the correlation, exchange processes, and separation of overlapping spectral information. The multi-dimensional concept has been re-implemented over the last two decades to explore molecular motion and spin dynamics in porous media. Apart from Fourier transform, methods have been developed for processing the multi-dimensional time-domain data, identifying the fluid components, and estimating pore surface permeability via joint relaxation and diffusion spectra. Through the resolution of spectroscopic signals with spatial encoding gradients, multi-dimensional MR imaging has been widely used to investigate the microscopic environment of living tissues and distinguish diseases. Signals in each voxel are usually expressed as multi-exponential decay, representing microstructures or environments along multiple pore scales. The separation of contributions from different environments is a common ill-posed problem, which can be resolved numerically. Moreover, the inversion methods and experimental parameters determine the resolution of multi-dimensional spectra. This paper reviews the algorithms that have been proposed to process multi-dimensional MR datasets in different scenarios. Detailed information at the microscopic level, such as tissue components, fluid types and food structures in multi-disciplinary sciences, could be revealed through multi-dimensional MR. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2772-5162 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2772516223000153; https://doaj.org/toc/2772-5162 |
| DOI: | 10.1016/j.mrl.2023.03.003 |
| URL الوصول: | https://doaj.org/article/5d88f83cef22437cb51a7af93ab1c4ec |
| رقم الأكسشن: | edsdoj.5d88f83cef22437cb51a7af93ab1c4ec |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 27725162 |
|---|---|
| DOI: | 10.1016/j.mrl.2023.03.003 |