1. Semantic Segmentation of Eight Regions of Upper and Lower Limb Bones Using 3D U-Net in Whole-body CT Images
- Author
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Yuichi Wakamatsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, and Naoki Kamiya
- Subjects
Upper Arms ,medicine.diagnostic_test ,business.industry ,Whole body ct ,Computed tomography ,General Medicine ,Anatomy ,Skeleton (computer programming) ,Bone and Bones ,Lower limb ,Semantics ,030218 nuclear medicine & medical imaging ,body regions ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Lower Extremity ,Sørensen–Dice coefficient ,Epiphysis ,030220 oncology & carcinogenesis ,Medicine ,Segmentation ,Tomography, X-Ray Computed ,business - Abstract
PURPOSE Automated analysis of skeletal muscle in whole-body computed tomography (CT) images uses bone information, but bone segmentation including the epiphysis is not achieved. The purpose of this research was the semantic segmentation of eight regions of upper and lower limb bones including the epiphysis in whole-body CT images. Our targets were left and right upper arms, forearms, thighs, and lower legs. METHOD We connected two 3D U-Nets in cascade for segmentation of eight upper and lower limb bones in whole-body CT images. The first 3D U-Net was used for skeleton segmentation in whole-body CT images, and the second 3D U-Net was used for eight upper and lower limb bones' segmentation in skeleton segmentation results. Thirty cases of whole-body CT images were used in the experiment, and the segmentation results were evaluated using Dice coefficient with 3-fold cross-validation. RESULT The mean Dice coefficient was 93% in the left and right upper arms, 89% in the left and right forearms, 95% in the left and right thighs, and 94% in the left and right lower legs. CONCLUSION Although the accuracy of the segmentation results of relatively small bones remains a challenge, the semantic segmentation of eight regions of upper and lower limb bones including the epiphysis in whole-body CT images has been achieved.
- Published
- 2020