Automatic Segmentation of Supraspinatus Muscle via Bone-Based Localization in Torso Computed Tomography Images Using U-Net
Automatic Segmentation of Supraspinatus Muscle via Bone-Based Localization in Torso Computed Tomography Images Using U-Net
复制标题
DOI：
10.1109/access.2021.3127565
复制
发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Yuichi Wakamatsu;N. Kamiya;Xiangrong Zhou;H. Kato;T. Hara;H. Fujita
中科院分区：
文献类型：
--
作者：
Yuichi Wakamatsu;N. Kamiya;Xiangrong Zhou;H. Kato;T. Hara;H. Fujita
冈上肌腱是肩袖中最常撕裂的肌腱。如果肌肉萎缩或脂肪变性，肩袖重建更有可能导致反撕裂。因此，冈上肌的萎缩和脂肪变性是术后病程的预测因素，使用冈上肌的三维分割进行体积分析是必要的。冈上肌与肩胛骨相连，因此可以根据肩胛骨的位置来估计该肌肉的区域。本文提出了一种基于躯干CT图像中肩胛骨位置的冈上肌分割方法。我们提出的方法包括基于肩胛骨分割结果的冈上肌定位和基于定位结果的冈上肌分割。U-Net用于肩胛骨和冈上肌的分割。在本实验中，我们使用了由同一患者的扫描生成的躯干CT图像和伪胸部CT图像。应用该方法对躯干和伪胸部CT图像进行分割得到的分割结果Dice均值均为0.881。在不使用定位的情况下，躯干和伪胸部CT图像的分割结果Dice均值分别为0.000和0.850。实验结果验证了基于骨的定位方法在U-Net冈上肌分割中的有效性。
The supraspinatus tendon is the most frequently torn tendon in the rotator cuff. Rotator cuff reconstruction is more likely to result in retear if the muscle has atrophy or fatty degeneration. Thus, atrophy and fatty degeneration of the supraspinatus muscle are predictors of the postoperative course, and volume analysis using three-dimensional segmentation of the supraspinatus muscle is necessary. The supraspinatus muscle is attached to the scapula, making it possible to estimate the region of the muscle based on the position of the scapula. In this paper, we propose a supraspinatus muscle segmentation method based on the scapula position in torso computed tomography (CT) images. Our proposed method consists of supraspinatus muscle localization using a scapula segmentation result and supraspinatus muscle segmentation based on the localization result. U-Net is used for scapula and supraspinatus muscle segmentation. In this experiment, we used torso CT images and pseudo-chest CT images which were generated from the scans of the same patient. The mean Dice values of the segmentation results obtained by applying the proposed method to the torso and pseudo-chest CT images were both 0.881. When localization was not used, the mean Dice values of the segmentation results in the torso and pseudo-chest CT images were 0.000 and 0.850, respectively. The experimental results demonstrate the effectiveness of bone-based localization in supraspinatus muscle segmentation using U-Net.