计算机工程2011，Vol.37Issue(21)：191-193,3.DOI:10.3969/j.issn.1000-3428.2011.21.065
稳健MM估计在扩散张量成像中的应用
Application of Robust MM Estimator in Diffusion Tensor Imaging
摘要
Abstract
Diffusion Weighted Image(DWI) does not contain signal bias caused by thermal noise but also outliers introduced by physiological noise. The Least Square(LS) estimator, the classic diffusion tensor estimator in the estimator of Diffusion Tensor Imaging(DTT), produces the optimal result in diffusion tensor on the condition that the distribution of the error is Gaussian, while it cannot lead to a robust result if outliers exist. According to the problem in LS method, this paper presents robust MM estimator to estimate the diffusion tensor, which has the advantages of both high breakdown point and high efficiency under normal errors simultaneously. MM estimator uses simple initial estimates as input and two step of M estimator is performed subsequently. Through applying MM robust estimator in the synthetic and real data, a more robust and more effective result can be produced in diffusion tensor estimator.关键词
扩散加权图像/扩散张量成像/稳健MM估计/最小二乘法Key words
Diffusion Weighted Image(DWI)/Diffusion Tensor Imaging(DTI)/robust MM estimator/Least Square(LS) method分类
信息技术与安全科学引用本文复制引用
易三莉,陈真诚,林红利..稳健MM估计在扩散张量成像中的应用[J].计算机工程,2011,37(21):191-193,3.基金项目
国家"863"计划基金资助项目(2009AA04Z214) （2009AA04Z214）
湖南省自然科学基金资助项目(07JJ6133) （07JJ6133）
