NDLI: Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation

Content Provider	IEEE Xplore Digital Library
Author	Wei, Q. Hu, Y. Gelfand, G. MacGregor, J.H.
Copyright Year	2007
Description	Author affiliation: Univ. of Calgary, Calgary (Wei, Q.)
Abstract	Advanced multi-slice CT scanners produce isotropic CT images, which have pixel dimensions equal to their image thicknesses of 0.6 mm. Comparing to clinical standard CT images with a thickness of 2.5 - 7.0 mm, isotropic CT images have clearly visible lobar fissures. This poises a challenge for developing automatic algorithms to identify the fissure locations and curvatures. This paper presents a wavelet algorithm that allows automatic identification of the left and right oblique fissures, as well semi-automatic identification of the horizontal fissures. This algorithm took a two-stage approach: (a) adaptive fissure sweeping to find fissure regions; and (b) wavelet transform to identify the fissure locations and curvatures within these fissure regions. Tested on 8, 6 and 6 stacks of isotropic CT images for the left oblique, right oblique and horizontal fissures, respectively, the algorithm yielded an accuracy of 77.1 - 93.6 % with strict evaluation criteria. This provides promising potential for developing an automatic algorithm to segment lung lobes.
Starting Page	5551
Ending Page	5554
File Size	1196931
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Lungs Computed tomography Wavelet transforms Humans Pixel Cancer Oncological surgery Two dimensional displays Three dimensional displays isotropic CT images segmentation lungs lobar fissures wavelet transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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