Chung Ai Wern, Seunarine Kiran K, Clark Chris A
Developmental Imaging & Biophysics, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, United Kingdom.
Hum Brain Mapp. 2016 Dec;37(12):4550-4565. doi: 10.1002/hbm.23328. Epub 2016 Aug 1.
Diffusion models are advantageous for examining brain microstructure non-invasively and their validation is important for transference into the clinical domain. Neurite Orientation Dispersion and Density Imaging (NODDI) is a promising model for estimating multiple diffusion compartments from MRI data acquired in a clinically feasible time. As a relatively new model, it is necessary to examine NODDI under certain experimental conditions, such as change in magnetic field-strength, and assess it in relation to diffusion tensor imaging (DTI), an established model that is largely understood by the neuroimaging community. NODDI measures (intracellular volume fraction, ν , and orientation distribution, OD) were compared with DTI at 1.5 and 3 T data in healthy adults in whole-brain tissue masks and regions of white- and deep grey-matter. Within-session reproducibility and between-subject differences of NODDI with field-strength were also investigated. Field-strength had a significant effect on NODDI measures, suggesting careful interpretation of results from data acquired at 1.5 and 3 T. It was demonstrated that NODDI is feasible at 1.5 T, but with lower ν in white-matter regions compared with 3 T. Furthermore, the advantages of NODDI over DTI in a region of complex microstructure were shown. Specifically, in the centrum-semiovale where FA is typically as low as in grey-matter, ν was comparable to other white-matter regions yet accompanied by an OD similar to deep grey-matter. In terms of reproducibility, NODDI measures varied more than DTI. It may be that NODDI is more susceptible to noisier parameter estimates when compared with DTI, conversely it may have greater sensitivity to true within- and between-subject heterogeneity. Hum Brain Mapp 37:4550-4565, 2016. © 2016 Wiley Periodicals, Inc.
扩散模型在无创检查脑微结构方面具有优势,其验证对于向临床领域转化至关重要。神经突方向离散度与密度成像(NODDI)是一种很有前景的模型,可从在临床可行时间内采集的MRI数据中估计多个扩散腔室。作为一个相对较新的模型,有必要在某些实验条件下(如磁场强度变化)对NODDI进行研究,并将其与扩散张量成像(DTI)进行评估比较,DTI是一个已确立的模型,神经影像学界对其有广泛了解。在全脑组织掩膜以及白质和深部灰质区域,将健康成年人1.5T和3T数据的NODDI测量值(细胞内体积分数ν和方向分布OD)与DTI进行了比较。还研究了NODDI在不同场强下的组内重复性和个体间差异。场强对NODDI测量值有显著影响,这表明对1.5T和3T采集的数据结果进行解读时需谨慎。结果表明,NODDI在1.5T时是可行的,但与3T相比,白质区域的ν较低。此外,还显示了NODDI在复杂微结构区域优于DTI的优势。具体而言,在半卵圆中心,FA通常与灰质一样低,ν与其他白质区域相当,但OD与深部灰质相似。在重复性方面,NODDI测量值的变化比DTI更大。这可能是因为与DTI相比,NODDI更容易受到噪声参数估计的影响,相反,它可能对个体内和个体间的真实异质性更敏感。《人类脑图谱》37:4550 - 4565,2016年。© 2016威利期刊公司。