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Proceedings Article

An extraction algorithm of pulmonary fissures from multislice CT image

[+] Author Affiliations
Shinsuke Saita, Motokatsu Yasutomo, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki

Univ. of Tokushima (Japan)

Kenji Eguchi

Univ. of Tokai (Japan)

Hironobu Ohmatsu

National Cancer Ctr. Hospital East (Japan)

Ryutaro Kakinuma

National Cancer Ctr. (Japan)

Masahiro Kaneko, Masahiro Kusumoto, Noriyuki Moriyama

National Cancer Ctr. Hospital (Japan)

Michizou Sasagawa

Tochigi Public Health Service Association (Japan)

Proc. SPIE 5370, Medical Imaging 2004: Image Processing, 1590 (May 12, 2004); doi:10.1117/12.534976
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From Conference Volume 5370

  • Medical Imaging 2004: Image Processing
  • J. Michael Fitzpatrick; Milan Sonka
  • San Diego, CA | February 14, 2004

abstract

Recently, the development of multi-row multi-slice CT scanner proves precise measure of whole lung area in short time period. The Ct scanner improves spatial resolution along z-axis and time resolution. Therefore, this CT image is effective for diagnosis of lung cancer as well as the other lung lesions, and leads the early detection. For clinical decision, lung lesion diagnosis requires the lung area detection. Pulmonary fissure part is one of important organs to identify lung area. This paper presents an algorithm of accuracy and automatic pulmonary extraction fissure based on the search area specification of pulmonary fissure, and accuracy pulmonary fissure extraction effectiveness of low-dose and high resolution multi-slice CT image. The usefulness of the proposed algorithm is demonstrated by using twenty clinical data sets.

© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Shinsuke Saita ; Motokatsu Yasutomo ; Mitsuru Kubo ; Yoshiki Kawata ; Noboru Niki, et al.
"An extraction algorithm of pulmonary fissures from multislice CT image", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, 1590 (May 12, 2004); doi:10.1117/12.534976; http://dx.doi.org/10.1117/12.534976


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