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Automatic pulmonary fissure detection and lobe segmentation in CT chest images.

Authors
  • Qi, Shouliang1
  • van Triest, Han J W
  • Yue, Yong
  • Xu, Mingjie
  • Kang, Yan
  • 1 Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. [email protected] , (China)
Type
Published Article
Journal
BioMedical Engineering OnLine
Publisher
Springer (Biomed Central Ltd.)
Publication Date
May 07, 2014
Volume
13
Pages
59–59
Identifiers
DOI: 10.1186/1475-925X-13-59
PMID: 24886031
Source
Medline
License
Unknown

Abstract

The sagittal adaptive fissure scanning can localize the potential fissure regions quickly. After the potential region is enhanced by a Hessian based line enhancement filter, Uniform Cost Search can extract the fissures successfully in 2D. Surface fitting is able to obtain three implicit surface functions for each dataset. The current algorithm shows good accuracy, robustness and speed, may help locate the lesions into each lobe and analyze them regionally.

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