Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols.
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols.
复制标题
跨临床磁共振成像协议的 SLANT 全脑分割的再现性评估。
DOI：
10.1117/12.2512561
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Landman,BennettA
中科院分区：
文献类型：
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作者：
Xiong,Yunxi;Huo,Yuankai;Wang,Jiachen;Davis,LTaylor;McHugo,Maureen;Landman,BennettA
结构磁共振成像（MRI）上的全脑分割对于理解神经解剖功能关系至关重要。传统上，多图谱分割被认为是全脑分割的标准方法。在过去的几年中，深度卷积神经网络（DCNN）分割方法已经证明了其在准确性和计算效率方面的优势。最近，我们提出了空间局部化图谱网络瓦片（SLANT）的方法，它能够分割成132个解剖区域的3D MRI脑扫描。通常，DCNN分割方法在外部验证下的性能较差，特别是当训练队列中没有提供测试模式时。最近，我们获得了一个临床获得的多序列MRI脑队列，其中使用7种不同的MRI协议对395名患者进行了1480次临床获得的去识别脑MRI扫描。此外，每个受试者至少有两次来自不同MRI方案的扫描。在此，我们评估了SLANT方法的方案内和方案间重现性。SLANT实现了方案内实验的变异系数（CV）小于0.05，方案间实验的变异系数（CV）小于0.15。结果表明，SLANT方法实现了较高的方案内和方案间重现性。
Whole brain segmentation on structural magnetic resonance imaging (MRI) is essential for understanding neuroanatomical-functional relationships. Traditionally, multi-atlas segmentation has been regarded as the standard method for whole brain segmentation. In past few years, deep convolutional neural network (DCNN) segmentation methods have demonstrated their advantages in both accuracy and computational efficiency. Recently, we proposed the spatially localized atlas network tiles (SLANT) method, which is able to segment a 3D MRI brain scan into 132 anatomical regions. Commonly, DCNN segmentation methods yield inferior performance under external validations, especially when the testing patterns were not presented in the training cohorts. Recently, we obtained a clinically acquired, multi-sequence MRI brain cohort with 1480 clinically acquired, de-identified brain MRI scans on 395 patients using seven different MRI protocols. Moreover, each subject has at least two scans from different MRI protocols. Herein, we assess the SLANT method’s intra- and inter-protocol reproducibility. SLANT achieved less than 0.05 coefficient of variation (CV) for intra-protocol experiments and less than 0.15 CV for inter-protocol experiments. The results show that the SLANT method achieved high intra- and inter- protocol reproducibility.