Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging.
Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging.
复制标题
DOI：
10.1016/j.ijdevneu.2013.06.004
复制
发表时间：
2013-11
期刊：
影响因子：
--
通讯作者：
Mori S
中科院分区：
文献类型：
--
作者：
Oishi K;Faria AV;Yoshida S;Chang L;Mori S
大脑的发育是结构特异性的，每个结构的生长速度根据受试者的年龄而不同。磁共振成像（MRI）常用于评估大脑发育，因为它具有高空间分辨率和对比度，可以观察特定结构的发育状态。目前，大多数临床mri是定性评估，以协助临床决策和诊断。临床MRI报告通常不能提供可用于监测发育状态的定量值。最近，图像量化对检测和评估轻至中度解剖异常的重要性已经得到强调，因为这些改变可能与几种精神疾病和学习障碍有关。在研究领域，结构MRI和弥散张量成像（DTI）已被广泛应用于量化儿科人群的大脑发育。为了解释这些MR模式的值，需要一个“生长百分位数图”，它描述了每个解剖结构正常发育曲线的平均值和标准差。尽管基于MRI和DTI的生长百分位数图已经取得了很大的进展，但最大的挑战之一是标准化所测量的解剖结构的解剖边界。为了避免解剖边界定义的读卡器之间和读卡器内部的差异，因此，为了提高定量测量的精度，一种针对新生儿和儿科人群定制的自动结构分割方法已经开发出来。该方法可以使用一个通用的分析框架对多个MR模式进行量化。本文介绍了创建基于MRI和dti的生长百分位图的尝试，以及随后用于研究与脑瘫、Williams综合征和Rett综合征相关的发育异常的应用。未来的发展方向包括临床应用的多模态图像分析和个性化。
The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a “growth percentile chart,” which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.
登录
查看更多内容
影响因子：
5.7
作者：
Berman, JI;Mukherjee, P;Henry, RG
通讯作者：
Henry, RG
影响因子：
4.8
作者：
Collins, DL;Holmes, CJ;Evans, AC
通讯作者：
Evans, AC
影响因子：
3.3
作者：
Chang, LC;Jones, DK;Pierpaoli, C
通讯作者：
Pierpaoli, C
影响因子：
9.9
作者：
Brockmann, K;Dechent, P;Hanefeld, F
通讯作者：
Hanefeld, F
DOI：
10.3233/jad-2011-0004
发表时间：
2011
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Boccardi M;Ganzola R;Bocchetta M;Pievani M;Redolfi A;Bartzokis G;Camicioli R;Csernansky JG;de Leon MJ;deToledo-Morrell L;Killiany RJ;Lehéricy S;Pantel J;Pruessner JC;Soininen H;Watson C;Duchesne S;Jack CR Jr;Frisoni GB
通讯作者：
Frisoni GB