波谱学杂志2013，Vol.30Issue(3)：322-335,14.
低场核磁共振扩散-横向弛豫二维反演算法
An Improved Two-Dimensional Inversion Algorithm for Low-Field NMR Diffusion-Transverse Relaxation Correlation Data
摘要
Abstract
NMR spectra acquired at low field often show severe signal overlap.Under such circumstance,two-dimensional (2D) diffusion-transverse relaxation (D-T2) correlation data are useful to differentiate signals from different components in the sample.The currently available inversion algorithms for D-T2 correlation data are time-and memory-consuming.To overcome this problem,we developed an improved 2D D-T2 inversion algorithm,which is more effective and consumes less memory and time than the traditional inversion algorithms.In brief,the logarithm values of discrete diffusion coefficient and transverse relaxation time were first obtained and used to construct two core matrices according to the signal collection conditions.Singular value decomposition was then carried out for the two matrices,followed by application of a cutoff value to remove negligible values.The inverse matrices of the thresholded core matrices were calculated and used to derive the initial inversion result.Finally,the initial inversion results were iterated with non-negative constraints to derived the final inversion results.关键词
核磁共振(NMR)/扩散/横向弛豫/二维反演Key words
nuclear magnetic resonance/ diffusion/ transverse relaxation/ two-dimensional inversion分类
信息技术与安全科学引用本文复制引用
李新军,聂生东,王远军,杨培强..低场核磁共振扩散-横向弛豫二维反演算法[J].波谱学杂志,2013,30(3):322-335,14.基金项目
国家自然科学基金资助项目(60972122),上海市重点学科建设资助项目(P0502). （60972122）
