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Proceedings Paper

Algorithm of pulmonary emphysema extraction using thoracic 3D CT images
Author(s): Shinsuke Saita; Mitsuru Kubo; Yoshiki Kawata; Noboru Niki; Yasutaka Nakano; Hironobu Ohmatsu; Keigo Tominaga M.D.; Kenji Eguchi; Noriyuki 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 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: 30 March 2007
PDF: 8 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65143L (30 March 2007); doi: 10.1117/12.709254
Show Author Affiliations
Shinsuke 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)
Yasutaka Nakano, Shiga Univ. of Medical Science (Japan)
Hironobu Ohmatsu, National Cancer Ctr. Hospital East (Japan)
Keigo Tominaga M.D., Tochigi Public Health Service Association (Japan)
Kenji Eguchi, Univ. of Tokai (Japan)
Noriyuki Moriyama, National Cancer Ctr. Research Ctr. for Cancer Prevention and Screening (Japan)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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