计算机科学
数据处理
计算
工具箱
拉普拉斯逆变换
核磁共振波谱
计算科学
图像处理
算法
拉普拉斯变换
人工智能
核磁共振
物理
数学
数学分析
图像(数学)
程序设计语言
操作系统
作者
Enping Lin,Bo Chen,Zhikai Ni,Yuqing Huang,Yu Yang,Zhong Chen
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:72: 1-11
标识
DOI:10.1109/tim.2023.3277972
摘要
NMR (Nuclear Magnetic Resonance) technique presents a powerful analytical tool in the fields of chemistry, biology, and material science. The performance of the NMR technique highly relies on post-data processing methods, which are diverse according to different applications. In this paper, we propose a general processing method that can cover a wide range of applications from molecular dynamics study to biomedical engineering. We analyze the computation performance of the method by comparing it to other well-known algorithms and demonstrate its application in various NMR data processing problems, i.e., diffusion-ordered spectroscopy processing, under-sampled MRI (Magnetic Resonance Imaging) reconstruction, Laplace NMR inversion, and spectrum denoising. The results corroborate that the method performs effectively and efficiently compared to state-of-the-art methods. Moreover, we construct the method as a light toolbox, with which the users can perform various kinds of data processing tasks conveniently via graphic interfaces.
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