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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