Sobol W T
Radiology Department, University of Alabama, Birmingham 35233-1924.
Comput Methods Programs Biomed. 1993 Apr;39(3-4):233-41. doi: 10.1016/0169-2607(93)90026-h.
Data analysis modules for Nuclear Magnetic Resonance Relaxometry LIS are described. Since the experimental NMR results from biomedical samples often exhibit complex structure that arises from complexity of tissue, the analysis methods focus on search, investigation, and evaluation of complex multiexponential relaxation features. Two algorithms have been implemented: an enhanced spin grouping method that is based on a multiexponential curve stripping algorithm, and an eigenvalue decomposition method, implemented as modified DISCRETE program.
描述了用于核磁共振弛豫测量LIS的数据分析模块。由于生物医学样品的实验核磁共振结果常常呈现出因组织复杂性而产生的复杂结构，因此分析方法着重于对复杂多指数弛豫特征的搜索、研究和评估。已实现了两种算法：一种基于多指数曲线剥离算法的增强自旋分组方法，以及一种作为改进的DISCRETE程序实现的特征值分解方法。
