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Proceedings Paper

Algorithm of pulmonary emphysema extraction using low dose thoracic 3D CT images
Author(s): S. Saita; M. Kubo; Y. Kawata; N. Niki; Y. Nakano M.D.; H. Omatsu; K. Tominaga; K. Eguchi; N. Moriyama
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Paper Abstract

Recently, due to aging and smoking, emphysema patients are increasing. The restoration of alveolus which was destroyed by emphysema is not possible, thus early detection of emphysema is desired. We describe a quantitative algorithm for extracting emphysematous lesions and quantitatively evaluate their distribution patterns using low dose thoracic 3-D CT images. The algorithm identified lung anatomies, and extracted low attenuation area (LAA) as emphysematous lesion candidates. Applying the algorithm to 100 thoracic 3-D CT images and then by follow-up 3-D CT images, we demonstrate its potential effectiveness to assist radiologists and physicians to quantitatively evaluate the emphysematous lesions distribution and their evolution in time interval changes.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61432T (13 March 2006); doi: 10.1117/12.654203
Show Author Affiliations
S. Saita, Univ. of Tokushima (Japan)
M. Kubo, Univ. of Tokushima (Japan)
Y. Kawata, Univ. of Tokushima (Japan)
N. Niki, Univ. of Tokushima (Japan)
Y. Nakano M.D., Shiga Univ. of Medical Science (Japan)
H. Omatsu, National Cancer Ctr. (Japan)
K. Tominaga, Tochigi Public Health Service Assoc. (Japan)
K. Eguchi, Tokai Univ. School of Medicine (Japan)
N. Moriyama, National Cancer Ctr. (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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