Esaki Toru, Furukawa Rieko
Department of Radiologic Technology, Jichi Medical University Hospital.
Department of Pediatric Medical Imaging, Jichi Children's Medical Center Tochigi.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020;76(11):1133-1142. doi: 10.6009/jjrt.2020_JSRT_76.11.1133.
The purpose of this study was to propose a method for segmentation and volume measurement of graft liver and spleen of pediatric transplant recipients on digital imaging and communications in medicine (DICOM) -format images using U-Net and three-dimensional (3-D) workstations (3DWS) .
For segmentation accuracy assessments, Dice coefficients were calculated for the graft liver and spleen. After verifying that the created DICOM-format images could be imported using the existing 3DWS, accuracy rates between the ground truth and segmentation images were calculated via mask processing.
As per the verification results, Dice coefficients for the test data were as follows: graft liver, 0.758 and spleen, 0.577. All created DICOM-format images were importable using the 3DWS, with accuracy rates of 87.10±4.70% and 80.27±11.29% for the graft liver and spleen, respectively.
The U-Net could be used for graft liver and spleen segmentations, and volume measurement using 3DWS was simplified by this method.
本研究的目的是提出一种利用U-Net和三维（3-D）工作站（3DWS）对儿科移植受者的移植肝脏和脾脏在医学数字成像和通信（DICOM）格式图像上进行分割和体积测量的方法。
为了进行分割准确性评估，计算了移植肝脏和脾脏的Dice系数。在验证创建的DICOM格式图像可以使用现有的3DWS导入后，通过掩码处理计算了地面真值与分割图像之间的准确率。
根据验证结果，测试数据的Dice系数如下：移植肝脏为0.758，脾脏为0.577。所有创建的DICOM格式图像都可以使用3DWS导入，移植肝脏和脾脏的准确率分别为87.10±4.70%和80.27±11.29%。
U-Net可用于移植肝脏和脾脏的分割，并且这种方法简化了使用3DWS进行的体积测量。
