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Proceedings Paper

Automated extraction of aorta and pulmonary artery in mediastinum from 3D chest x-ray CT images without contrast medium
Author(s): Takayuki Kitasaka; Kensaku Mori; Jun-ichi Hasegawa; Jun-ichiro Toriwaki; Kazuhiro Katada
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Paper Abstract

This paper proposes a method for automated extraction of the aorta and pulmonary artery (PA) in the mediastinum of the chest from uncontrasted chest X-ray CT images. The proposed method employs a model fitting technique to use shape features of blood vessels for extraction. First, edge voxels are detected based on the standard deviation of CT values. A likelihood image, which shows the degree of likelihood on medial axes of vessels, are calculated by applying the Euclidean distance transformation to non-edge voxels. Second, the medial axis of each vessel is obtained by fitting the model. This is done by referring the likelihood image. Finally, the aorta and PA areas are recovered from the medial axes by executing the reverse Euclidean distance transformation. We applied the proposed method to seven cases of uncontrasted chest X-ray CT images and evaluated the results by calculating the coincidence index computed from the extracted regions and the regions manually traced. Experimental results showed that the extracted aorta and the PA areas coincides with manually input regions with the coincidence indexes values 90% and 80-90%,respectively.

Paper Details

Date Published: 9 May 2002
PDF: 12 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467116
Show Author Affiliations
Takayuki Kitasaka, Nagoya Univ. (Japan)
Kensaku Mori, Stanford Univ. (Japan)
Jun-ichi Hasegawa, Chukyo Univ. (Japan)
Jun-ichiro Toriwaki, Nagoya Univ. (Japan)
Kazuhiro Katada, Fujita Health Univ. (Japan)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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