ID | 118220 |
Author |
Kawata, Yoshiki
Tokushima University
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Sugiura, Toshihiko
Chiba University
Tanabe, Nobuhiro
Chiba University
Matsumoto, Yuji
National Cancer Center Hospital
Tsuchida, Takaaki
National Cancer Center Hospital
Kusumoto, Masahiko
National Cancer Center Hospital
Marumo, Kazuyoshi
Tokyo Health Service Association
Kaneko, Masahiro
Tokyo Health Service Association
Niki, Noboru
Medical Science Institute Inc.
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Keywords | Thoracic aorta calcification
computed tomography
anatomical label map
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Content Type |
Journal Article
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Description | Progression of thoracic aortic calcification (TAC) has been shown to be associated with hard cardiovascular events including stroke and all-cause mortality as well as coronary events. In this study, we propose an automated detection method of TACs of non-contrast CT images using mediastinal anatomical label map. This method consists of two steps: (1) the construction of a mediastinal anatomical label map, and (2) the detection of TACs using the intensity and the mediastinal anatomical label map. The proposed method was applied to two non-contrast CT image datasets: 24 cases of chronic thromboembolic pulmonary hypertension (CTEPH) and 100 non-CTEPH cases of low-dose CT screening. The method was compared with two-dimensional U-Nets and the Swin UNETR. The results showed that the method achieved significantly higher F1 score of 0.937 than other methods for the non-CTEPH case dataset (p-value < 0.05, pairwise Wilcoxon signed rank test with Bonferroni correction).
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Journal Title |
Proceedings of SPIE
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ISSN | 0277786X
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NCID | AA10619755
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Publisher | SPIE
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Volume | 12465
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Start Page | 1246519
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Published Date | 2023-04-07
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Remark | Hidenobu Suzuki, Yoshiki Kawata, Toshihiko Sugiura, Nobuhiro Tanabe, Yuji Matsumoto, Takaaki Tsuchida, Masahiko Kusumoto, Kazuyoshi Marumo, Masahiro Kaneko, and Noboru Niki "Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label map", Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 1246519 (7 April 2023); https://doi.org/10.1117/12.2654043
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Rights | Copyright 2023 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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language |
eng
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departments |
Science and Technology
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