Department of Radiological Technology, Faculty of Health Science, Juntendo University, 2-1-1 hongo, bunkyo-ku, Tokyo 113-8421, Japan.
Department of Radiology, Juntendo University School of Medicine, Japan.
J Clin Neurosci. 2020 Sep;79:178-182. doi: 10.1016/j.jocn.2020.07.024. Epub 2020 Aug 6.
Brain extraction represents an important step in numerous neuroimaging analyses. The brain extraction tool (BET)2 is a widely used deformable model-based approach for extraction of intracranial volume (ICV). The aim of this study is to estimate the ICV extraction accuracy using synthetic MR(SyMRI) method and BET2 in healthy adult participants and patients with Sturge-Weber Syndrome (SWS), including infants. 'Quantification of relaxation times and proton density by multi-echo acquisition of saturation recovery with turbo-spin-echo readout' (QRAPMASTER) with a 3.0 T magnetic resonance image (MRI) system was used for data acquisition. Statistical evaluations were performed with linear regression analysis and the Jaccard similarity coefficient (J). ICV extraction accuracy with synthetic MR method is found to be higher than BET2, for both aged healthy participants and SWS.
脑提取是许多神经影像学分析中的重要步骤。脑提取工具（BET）2 是一种广泛使用的基于变形模型的方法，用于提取颅内体积（ICV）。本研究的目的是使用合成磁共振（SyMRI）方法和 BET2 来估计健康成年参与者和 Sturge-Weber 综合征（SWS）患者（包括婴儿）的 ICV 提取准确性。使用 3.0 T 磁共振成像（MRI）系统的“通过带有 turbo-spin-echo 读取的饱和恢复多回波采集来定量弛豫时间和质子密度”（QRAPMASTER）进行数据采集。使用线性回归分析和 Jaccard 相似系数（J）进行统计评估。发现合成 MR 方法的 ICV 提取准确性高于 BET2，无论是在年龄较大的健康参与者还是 SWS 患者中。
