Extracting alveolar structure of human lung tissue specimens based on surface skeleton representation from 3D micro-CT images

Hiroyuki Ishimori; Yoshiki Kawata; Noboru Niki; Yoshihiro Nakaya; Hironobu Ohmatsu; Eisuke Matsui; Masashi Fujii; Noriyuki Moriyama

doi:10.1117/12.709434

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30 March 2007 Extracting alveolar structure of human lung tissue specimens based on surface skeleton representation from 3D micro-CT images

Hiroyuki Ishimori, Yoshiki Kawata, Noboru Niki, Yoshihiro Nakaya, Hironobu Ohmatsu, Eisuke Matsui, Masashi Fujii, Noriyuki Moriyama

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Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65143O (2007) https://doi.org/10.1117/12.709434
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

We have developed a Micro CT system for understanding lung function at a high resolution of the micrometer order (up to 5µm in spatial resolution). Micro CT system enables the removal specimen of lungs to be observed at micro level, has expected a big contribution for micro internal organs morphology and the image diagnosis study. In this research, we develop system to visualize lung microstructures in three dimensions from micro CT images and analyze them. They characterize in that high CT value of the noise area is, and the difficulty of only using threshold processing to extract the alveolar wall of micro CT images. Thus, we are developing a method of extracting the alveolar wall with surface thinning algorithm. In this report, we propose the method which reduces the excessive degeneracy of figure which caused by surface thinning process. And, we apply this algorithm to the micro CT image of the actual pulmonary specimen. It is shown that the extraction of the alveolus wall becomes possible in the high precision.

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Hiroyuki Ishimori, Yoshiki Kawata, Noboru Niki, Yoshihiro Nakaya, Hironobu Ohmatsu, Eisuke Matsui, Masashi Fujii, and Noriyuki Moriyama "Extracting alveolar structure of human lung tissue specimens based on surface skeleton representation from 3D micro-CT images", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65143O (30 March 2007); https://doi.org/10.1117/12.709434

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