A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images
Joint Authors
Sera, Toshihiro
Koshiyama, Kenichiro
Wada, Shigeo
Xiao, Luosha
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Pulmonary acinus is the largest airway unit provided with alveoli where blood/gas exchange takes place.
Understanding the complete structure of acinus is necessary to measure the pathway of gas exchange and to simulate various mechanical phenomena in the lungs.
The usual manual segmentation of a complete acinus structure from their experimentally obtained images is difficult and extremely time-consuming, which hampers the statistical analysis.
In this study, we develop a semiautomatic segmentation algorithm for extracting the complete structure of acinus from synchrotron micro-CT images of the closed chest of mouse lungs.
The algorithm uses a combination of conventional binary image processing techniques based on the multiscale and hierarchical nature of lung structures.
Specifically, larger structures are removed, while smaller structures are isolated from the image by repeatedly applying erosion and dilation operators in order, adjusting the parameter referencing to previously obtained morphometric data.
A cluster of isolated acini belonging to the same terminal bronchiole is obtained without floating voxels.
The extracted acinar models above 98% agree well with those extracted manually.
The run time is drastically shortened compared with manual methods.
These findings suggest that our method may be useful for taking samples used in the statistical analysis of acinus.
American Psychological Association (APA)
Xiao, Luosha& Sera, Toshihiro& Koshiyama, Kenichiro& Wada, Shigeo. 2013. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-482010
Modern Language Association (MLA)
Xiao, Luosha…[et al.]. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-482010
American Medical Association (AMA)
Xiao, Luosha& Sera, Toshihiro& Koshiyama, Kenichiro& Wada, Shigeo. A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-482010
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482010