Deep learning-based Hounsfield unit value measurement method for bolus tracking images in cerebral computed tomography angiography
Deep learning-based Hounsfield unit value measurement method for bolus tracking images in cerebral computed tomography angiography
复制标题
基于深度学习的脑CT血管造影中团注跟踪图像Hounsfield单位值测量方法
DOI：
10.1016/j.compbiomed.2021.104824
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发表时间：
2021
影响因子：
7.7
通讯作者：
Ishii Kazunari
中科院分区：
文献类型：
--
作者：
Watanabe Shota;Sakaguchi Kenta;Murata Daisuke;Ishii Kazunari
背景推注跟踪 (BT) 期间患者的移动会影响亨斯菲尔德单位 (HU) 测量的准确性。本研究评估了采用独创的基于深度学习（DL）的方法与传统感兴趣区域（ROI）设置方法相比，测量颈内动脉（ICA）HU值的准确性。方法回顾性选取127例接受脑CT血管造影的患者共722张BT图像，分为训练数据组、验证数据组和测试数据组。为了使用我们提出的方法分割 ICA，使用卷积神经网络执行深度学习。 ICA 中的 HU 值是使用我们基于 DL 的方法和 ROI 设置方法获得的。 ROI 设置是在校正和不校正患者身体运动的情况下进行的（校正 ROI 和固定 ROI）。我们将所提出的基于 DL 的方法与固定 ROI 进行比较，根据患者在 BT 图像采集期间是否经历过不自主运动来评估 HU 值与校正 ROI 的差异。结果固定 ROI 和所提出的方法中 HU 值与校正 ROI 的差异在有身体运动的患者中为 23.8 ± 12.7 HU 和 9.0 ± 6.4 HU，在有身体运动的患者中为 1.1 ± 1.6 HU 和3.9 ± 4.7 分别在没有身体运动的患者中出现 HU。两次比较均有显着性差异（P<0.01）。结论基于DL的方法可以提高患者不自主运动BT图像中ICA HU值测量的准确性。
BackgroundPatient movement during bolus tracking (BT) impairs the accuracy of Hounsfield unit (HU) measurements. This study assesses the accuracy of measuring HU values in the internal carotid artery (ICA) using an original deep learning (DL)-based method as compared with using the conventional region of interest (ROI) setting method.MethodA total of 722 BT images of 127 patients who underwent cerebral computed tomography angiography were selected retrospectively and divided into groups for training data, validation data, and test data. To segment the ICA using our proposed method, DL was performed using a convolutional neural network. The HU values in the ICA were obtained using our DL-based method and the ROI setting method. The ROI setting was performed with and without correcting for patient body movement (corrected ROI and settled ROI). We compared the proposed DL-based method with settled ROI to evaluate HU value differences from the corrected ROI, based on whether or not patients experienced involuntary movement during BT image acquisition.ResultsDifferences in HU values from the corrected ROI in the settled ROI and the proposed method were 23.8 ± 12.7 HU and 9.0 ± 6.4 HU in patients with body movement and 1.1 ± 1.6 HU and 3.9 ± 4.7 HU in patients without body movement, respectively. There were significant differences in both comparisons (P< 0.01).ConclusionDL-based method can improve the accuracy of HU value measurements for ICA in BT images with patient involuntary movement.
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