The inversion of 2D NMR relaxometry data using L1 regularization

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• 作者：Xiaolong Zhou^a ; Guanqun Su^a ; Lijia Wang^a ; Shengdong Nie^a ; ^{nsd4647@163.com} ; Xinmin Ge^b
• 关键词：Low-field NMR ; 2D inversion ; FISTA ; 2D spectra
• 刊名：Journal of Magnetic Resonance
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：275
• 期：Complete
• 页码：46-54
• 全文大小：2047 K
• 卷排序：275

文摘

More excellent capability to reveal narrow peaks than traditional algorithms. First introduced L1 penalty term to constrain the sparsity of the spectra. The effectiveness, noise vulnerability are verified by simulations and experiments. FISTA used to solve L1 regularization problems is effective and robust.