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ID 116928
著者
Sugiura, Toshihiko Chiba University
Tanabe, Nobuhiro Chiba University
Kusumoto, Masahiko National Cancer Center
Kaneko, Masahiro Tokyo Health Service Association
キーワード
Chronic thromboembolic pulmonary hypertension
computed tomography
contact surface ratio
U-Net
資料タイプ
学術雑誌論文
抄録
Enlargement of the pulmonary artery is a morphological abnormality of pulmonary hypertension patients. Diameters of the aorta and main pulmonary artery (MPA) are useful for predicting the presence of pulmonary hypertension. A major problem in the automatic segmentation of the aorta and MPA from non-contrast CT images is the invisible boundary caused by contact with blood vessels. In this study, we applied U-Net to the segmentation of the aorta and MPA from non-contrast CT images for normal and chronic thromboembolic pulmonary hypertension (CTEPH) cases and evaluated the robustness to the contacts between blood vessels. Our approach of the segmentation consists of three steps: (1) detection of trachea branch point, (2) cropping region of interest centered to the trachea branch point, and (3) segmentation of the aorta and MPA using U-Net. The segmentation performances were compared in seven methods: 2D U-Net, 2D U-Net with pre-trained VGG-16 encoder, 2D U-Net with pre-trained VGG-19 encoder, 2D Attention U-Net, 3D U-Net, an ensemble method of them, and our conventional method. The aorta and MPA segmentation methods using these U-Net achieved higher performance than a conventional method. Although the contact boundaries of blood vessels caused lower performance compared with the non-contact boundaries, the mean boundary distances were below about one pixel.
掲載誌名
Proceedings of SPIE
ISSN
0277786X
cat書誌ID
AA10619755
出版者
SPIE
12033
開始ページ
1203325
発行日
2022-04-04
備考
Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Toshihiko Sugiura, Nobuhiro Tanabe, Masahiko Kusumoto, Masahiro Kaneko, and Noboru Niki "Segmentation of aorta and main pulmonary artery of non-contrast CT images using U-Net for chronic thromboembolic pulmonary hypertension: evaluation of robustness to contacts with blood vessels", Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, 1203325 (4 April 2022); https://doi.org/10.1117/12.2612705
権利情報
Copyright 2022 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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出版社版DOI
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言語
eng
著者版フラグ
出版社版
部局
理工学系