Simulation-Based Sensitivity Analysis of Regularization Parameters for Robust Reconstruction of Complex Material’s T1 − T21H LF-NMR Energy Relaxation Signals
| العنوان: | Simulation-Based Sensitivity Analysis of Regularization Parameters for Robust Reconstruction of Complex Material’s T1 − T21H LF-NMR Energy Relaxation Signals |
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| المؤلفون: | Zeev Wiesman, Maysa T. Resende, Michael A. Saunders, Charles Linder, Diamanta Benson, Salvatore Campisi-Pinto, Ofer Levi |
| المصدر: | Applied Magnetic Resonance. 51:41-58 |
| بيانات النشر: | Springer Science and Business Media LLC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Physics, Solid-state physics, Data reconstruction, Regular polygon, Reconstruction algorithm, 010402 general chemistry, 01 natural sciences, Atomic and Molecular Physics, and Optics, 030218 nuclear medicine & medical imaging, 0104 chemical sciences, 03 medical and health sciences, 0302 clinical medicine, Regularization (physics), Proton NMR, Biological system, Spectroscopy, Simulation based |
| الوصف: | We recently showed, in a simulation study using two artificial signals, that our PDCO (Primal Dual interior method for Convex Objectives) reconstruction algorithm can be efficiently used for the reconstruction of low-field proton nuclear magnetic resonance (1H LF-NMR) relaxation signals into T1 (spin–lattice) vs. T2 (spin–spin) time 2D graphs of a material’s composition. In the present study, for highly complex materials, we demonstrate the PDCO’s reconstruction efficacy for a much wider range of simulated signals with higher complexity and different signal-to-noise ratios (SNR) taken from actual reconstructed 1H LF-NMR spectroscopy signals of oleic acid and cattle manure. The optimal regularization parameters of the PDCO’s reconstructing algorithm were identified for this large range of simulated LF-NMR signals and noise values. These simulated compact graphical and numerical representations demonstrated 1H LF-NMR relaxation signals of complex materials can be accurately reconstructed into T1 − T2 time graphs of a material’s chemical and morphology. The present study further confirmed that an optimal single set of regulatory parameters for the data reconstruction algorithms could be used for different materials or different batches of the same material. |
| تدمد: | 1613-7507 0937-9347 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6b1dfb058d76fdd9e5062d2002def780 https://doi.org/10.1007/s00723-019-01173-1 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........6b1dfb058d76fdd9e5062d2002def780 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 16137507 09379347 |
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