Quantitative Synthetic MRI in Children: Normative Intracranial Tissue Segmentation Values during Development
Quantitative Synthetic MRI in Children: Normative Intracranial Tissue Segmentation Values during Development
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DOI：
10.3174/ajnr.a5398
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发表时间：
2017-12-01
影响因子：
3.5
通讯作者：
Serai, S.
中科院分区：
文献类型：
--
作者：
McAllister, A.;Leach, J.;Serai, S.
背景和目的：合成 MR 成像是一种使用单个多自旋回波饱和恢复序列创建绝对 R1 弛豫率 (1/T1)、R2 弛豫率 (1/T2) 和质子密度图的新技术。这些弛豫图可以实现组织类型的快速自动颅内分割。为了评估其在儿童中的实用性，我们使用合成 MR 成像创建了一个规范数据库，其中包含具有正常脑 MRI 结果的儿科人群的颅内体积和脑实质、GM、WM、CSF 和髓鞘体积。 材料和方法：对 34 个月内进行的所有包含脑 MR 成像检查的多重自旋回波饱和度恢复序列进行回顾性审查。经过详细的放射学和临床图表审查后，排除了异常检查结果。然后利用合成 MR 成像对剩余的正常检查结果进行定量分析。绘制颅内、脑实质、GM、WM、CSF 和髓磷脂体积与年龄的关系图。对分割准确性进行定性评估。将选定的异常检查结果与这些正常曲线进行比较。结果：122 名 MRI 检查结果正常的个体纳入其中，年龄范围为 0.1 至 21.5 岁（中位年龄 11.8 岁）。所得的规范数据图与之前发布的使用更繁琐的技术获得的数据相比毫不逊色。在选定的病例中使用定量值可以区分病理状态。结论：使用单一序列和快速软件分析的正常颅内组织体积的儿科数据库已经编制完毕，并与之前发表的数据相关联。这为开发过程中定量合成 MR 图像的临床解释提供了一个框架。需要改进幼儿中基于年龄的分割算法。
BACKGROUND AND PURPOSE: Synthetic MR imaging is a new technique to create absolute R1 relaxivity (1/T1), R2 relaxivity (1/T2), and proton-density maps using a single multiple-spin-echo saturation recovery sequence. These relaxivity maps allow rapid automated intracranial segmentation of tissue types. To assess its utility in children, we created a normative data base of intracranial volume and brain parenchymal, GM, WM, CSF, and myelin volumes in a pediatric population with normal brain MRI findings using synthetic MR imaging.MATERIALS AND METHODS: All multiple-spin-echo saturation recovery sequences containing brain MR imaging examinations performed during 34 months were retrospectively reviewed. Abnormal examination findings were excluded following a detailed radiographic and clinical chart review. The remaining normal examination findings were then quantitatively analyzed with synthetic MR imaging. Intracranial, brain parenchymal, GM, WM, CSF, and myelin volumes were plotted versus age. Qualitative assessment of segmentation accuracy was performed. Selected abnormal examination findings were compared with these normative curves.RESULTS: One hundred twenty-two MRI examinations with normal findings were included of individuals ranging from 0.1 to 21.5 years of age (median, 11.8 years). Resulting normative data plots compared favorably with previously published data obtained using more onerous techniques. Differentiation from pathologic states was possible using quantitative values in select cases.CONCLUSIONS: A pediatric data base of normal intracranial tissue volumes using a single sequence and rapid software analysis has been compiled and correlates with previously published data. This provides a framework for clinical interpretation of quantitative synthetic MR images during development. Improved age-based segmentation algorithms in young children are needed.