Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging

被引:9
作者
Mejia, Amanda F. [1 ]
Sweeney, Elizabeth M. [1 ,2 ]
Dewey, Blake [2 ]
Nair, Govind [2 ]
Sati, Pascal [2 ]
Shea, Colin [2 ]
Reich, Daniel S. [1 ,2 ]
Shinohara, Russell T. [3 ]
机构
[1] Johns Hopkins Univ, Dept Biostat, Baltimore, MD 21205 USA
[2] NINDS, Translat lNeuroradiol Unit, Div Neuroimmunol & Neurovirol, NIH, Bethesda, MD 20892 USA
[3] Univ Penn, Perelman Sch Med, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
T1 relaxation time; Magnetic resonance imaging; Multiple sclerosis; Image synthesis; DEEP GRAY-MATTER; REMITTING MULTIPLE-SCLEROSIS; APPEARING WHITE-MATTER; T2; HYPOINTENSITY; BRAIN; T1; LESION; MS; DISABILITY; DEMYELINATION;
D O I
10.1016/j.neuroimage.2015.12.037
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Quantitative T-1 maps estimate T-1 relaxation times and can be used to assess diffuse tissue abnormalities within normal-appearing tissue. T-1 maps are popular for studying the progression and treatment of multiple sclerosis (MS). However, their inclusion in standard imaging protocols remains limited due to the additional scanning time and expert calibration required and susceptibility to bias and noise. Here, we propose a new method of estimating T-1 maps using four conventional MR images, which are intensity-normalized using cerebellar gray matter as a reference tissue and related to T-1 using a smooth regression model. Using cross-validation, we generate statistical T-1 maps for 61 subjects with MS. The statistical maps are less noisy than the acquired maps and show similar reproducibility. Tests of group differences in normal-appearing white matter across MS subtypes give similar results using both methods. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:176 / 188
页数:13
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