Simple MATLAB and Python scripts for multi-exponential analysis

© 2024 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Magnetic resonance in chemistry : MRC. - 1985. - 62(2024), 10 vom: 05. Sept., Seite 698-711
1. Verfasser: Afrough, Armin (VerfasserIn)
Weitere Verfasser: Mokhtari, Rasoul, Feilberg, Karen L
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
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
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520 |a 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 
650 4 |a Journal Article 
650 4 |a 1H 
650 4 |a NMR 
650 4 |a exponential decay 
650 4 |a inverse problems 
650 4 |a magnetic resonance relaxation 
650 4 |a multi‐exponential analysis 
700 1 |a Mokhtari, Rasoul  |e verfasserin  |4 aut 
700 1 |a Feilberg, Karen L  |e verfasserin  |4 aut 
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