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Proceedings Paper

Feature calculation for classification algorithm of pulmonary vein and artery
Author(s): Takashi Nishio; Sinsuke Saita; Mitsuru Kubo; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryuutarou Kakinuma; Noriyuki Moriyama; Kenji Eguchi
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Paper Abstract

Multi-slice helical CT technology has been developed. Unlike the conventional helical CT, we can obtain CT images of two or more slices in 1 time scan. Therefore, we can get many images with a clear contrast and thin slice images in one time of scanning. The purpose of this presentation is to evaluate the proposed automatic extraction bronchus and pulmonary vein and artery on multi-slice CT images. The bronchus is extracted by application with region growing technique and the morphological filters, 3D distance transformation. These results indicate that the proposed algorithm provides the ability to accurately develop an automatic extraction algorithm of the bronchus on multi-slice CT images. In this report, we used pulmonary vein and artery marked by the doctor, It aims to discover an amount of the feature necessary for classifying the pulmonary vein and artery by using the anatomical feature. The classification of the pulmonary vein and artery is thought to be a necessary information for tumor's benign or malignity judgment. In this report, the amount of the feature in which the flow of the automation is based is analyzed by using three dimension images of pulmonary vein and artery and bronchus obtained by the specialized physician's marking.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432X (13 March 2006); doi: 10.1117/12.652948
Show Author Affiliations
Takashi Nishio, The Univ. of Tokushima (Japan)
Sinsuke Saita, The Univ. of Tokushima (Japan)
Mitsuru Kubo, The Univ. of Tokushima (Japan)
Yoshiki Kawata, The Univ. of Tokushima (Japan)
Noboru Niki, The Univ. of Tokushima (Japan)
Hironobu Ohmatsu, National Cancer Ctr. Hospital East (Japan)
Ryuutarou Kakinuma, National Cancer Ctr. (Japan)
Noriyuki Moriyama, National Cancer Ctr. (Japan)
Kenji Eguchi, Tokai Univ. School of Medicine (Japan)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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