Simple MATLAB and Python scripts for multi-exponential analysis
© 2024 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.
Veröffentlicht in: | Magnetic resonance in chemistry : MRC. - 1985. - 62(2024), 10 vom: 05. Sept., Seite 698-711 |
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1. Verfasser: | |
Weitere Verfasser: | , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2024
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Zugriff auf das übergeordnete Werk: | Magnetic resonance in chemistry : MRC |
Schlagworte: | Journal Article 1H NMR exponential decay inverse problems magnetic resonance relaxation multi‐exponential analysis |
Zusammenfassung: | © 2024 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd. Multi-exponential decay is prevalent in magnetic resonance spectroscopy, relaxation, and imaging. This paper describes simple MATLAB and Python functions and scripts for regularized multi-exponential analysis methods for 1D and 2D data and example test problems and experiments. Regularized least-squares solutions provide production-quality outputs with robust stopping rules in ~5 and ~20 lines of code for 1D and 2D inversions, respectively. The software provides an open-architecture simple solution for transforming exponential decay data to the distribution of their decay lifetimes. Examples from magnetic resonance relaxation of a complex fluid, a Danish North Sea crude oil, and fluid mixtures in porous materials-brine/crude oil mixture in North Sea reservoir chalk-are presented. Developed codes may be incorporated in other software or directly used by other researchers, in magnetic resonance relaxation, diffusion, and imaging or other physical phenomena that require multi-exponential analysis |
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Beschreibung: | Date Revised 06.09.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
ISSN: | 1097-458X |
DOI: | 10.1002/mrc.5453 |