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Proceedings Paper

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
Author(s): Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Toshihiko Sugiura; Nobuhiro Tanabe; Masahiko Kusumoto; Kenji Eguchi; Masahiro Kaneko
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Paper Abstract

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 lowdose 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.

Paper Details

Date Published: 27 February 2018
PDF: 6 pages
Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105750X (27 February 2018); doi: 10.1117/12.2293295
Show Author Affiliations
Hidenobu Suzuki, Tokushima Univ. (Japan)
Yoshiki Kawata, Tokushima Univ. (Japan)
Noboru Niki, Tokushima Univ. (Japan)
Toshihiko Sugiura, Chiba Univ. (Japan)
Nobuhiro Tanabe, Chiba Univ. (Japan)
Masahiko Kusumoto, National Cancer Ctr. Hospital East (Japan)
Kenji Eguchi, Teikyo Univ. (Japan)
Masahiro Kaneko, Tokyo Health Service Association (Japan)


Published in SPIE Proceedings Vol. 10575:
Medical Imaging 2018: Computer-Aided Diagnosis
Nicholas Petrick; Kensaku Mori, Editor(s)

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