Paper Info
Title
Extracting alveolar structure of human lung tissue specimens based on surface skeleton representation from 3D micro-CT images
Abstract
We have developed a Micro CT system for understanding lung function at a high resolution of the micrometer order (up to 5[Lm 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.
Year
DOI
Venue
2007
10.1117/12.709434
Proceedings of SPIE
Keywords
Field
DocType
micro-CT,lung microstructure,surface Thinning,alveolus wall
Biomedical engineering,Anatomy,Human lung,Medical diagnostics,Diagnosis Study,Skeleton (computer programming),Alveolar Wall,Image resolution,Micrometer,Materials science,Thinning algorithm
Conference
Volume
ISSN
Citations 
6514
0277-786X
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
hiroyuki ishimori100.34
Yoshiki Kawata219254.44
Noboru Niki318866.10
yoshihiro nakaya400.34
Hironobu Ohmatsu513845.23
eisuke matsui600.68
masashi fujii700.68
Noriyuki Moriyama814850.47