Study of uncertainties in the inversion algorithms for transverse relaxation distribution

摘要：

Nuclear magnetic resonance (NMR) relaxation spectrum is often used as fingerprints of molecular species, structure and dynamics in the study of complex multiphase system. Inversion algorithms such as singular value decomposition (SVD), Non-negative least square (NNLS), Solid iteration rebuild technique (SIRT) have been widely used in analyzing NMR data to obtain a T1 or T2 spectrum. However, due to the ill-conditioned nature of such inversion, it is difficult to determine the reliability of the inversion result. The concrete model is realized in MATLAB according the thought of the above three algorithms in this article. We converged to the true distribution by matching up the inversion spectrum from a series of true decay data collected from the NMR analyst instrument and a noisy simulated model, then evaluated the effects of noise in the original NMR data.

作者: CHEN Shan-shan LI Ran YU Jie WANG Hong-zhi ZHANG Xue-long

作者单位: School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai 200093, P.R.China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）