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ID 116678
Author
Sugiura, Toshihiko Chiba University
Tanabe, Nobuhiro Chiba University
Kusumoto, Masahiko National Cancer Center Hospital East
Eguchi, Kenji Teikyo University
Kaneko, Masahiro Tokyo Health Service Association
Keywords
Chronic thromboembolic pulmonary hypertension
computed tomography
computer aided diagnosis
CT lung screening
Content Type
Journal Article
Description
Chronic thromboembolic pulmonary hypertension (CTEPH) is characterized by obstruction of the pulmonary vasculature by residual organized thrombi. A morphological abnormality inside mediastinum of CTEPH patient is enlargement of pulmonary artery. This paper presents an automated assessment of aortic and main pulmonary arterial diameters for predicting CTEPH in low-dose CT lung screening. The distinctive feature of our method is to segment aorta and main pulmonary artery using both of prior probability and vascular direction which were estimated from mediastinal vascular region using principal curvatures of four-dimensional hyper surface. The method was applied to two datasets, 64 low-dose CT scans of lung cancer screening and 19 normal-dose CT scans of CTEPH patients through the training phase with 121 low-dose CT scans. This paper demonstrates effectiveness of our method for predicting CTEPH in low-dose CT screening.
Journal Title
Proceedings of SPIE
ISSN
0277786X
NCID
AA10619755
Publisher
SPIE
Volume
10575
Start Page
105750X
Published Date
2018-02-27
Remark
Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Toshihiko Sugiura, Nobuhiro Tanabe, Masahiko Kusumoto, Kenji Eguchi, and Masahiro Kaneko "Automated assessment of aortic and main pulmonary arterial diameters using model-based blood vessel segmentation for predicting chronic thromboembolic pulmonary hypertension in low-dose CT lung screening", Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105750X (27 February 2018); https://doi.org/10.1117/12.2293295
Rights
Copyright 2018 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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DOI (Published Version)
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language
eng
TextVersion
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departments
Science and Technology