Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation.

Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation. Research Abstract Details 

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Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation. Abstract Text:

Q Wei,Y Hu,G Gelfand,J H Macgregor,Q Wei,Y Hu,G Gelfand,J H MacGregor,

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.

Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation. Publishing Authors By Initials

Q Wei,Y Hu,G Gelfand,JH Macgregor,Q Wei,Y Hu,G Gelfand,JH MacGregor,

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Segmentation of Lung Lobes in Isotropic CT Images Using Wavelet Transformation. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 1

Page Numbers: 5551-4

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ISSN: 1557-170X

DAY: 16

MONTH: 11

YEAR: 2007

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LANGUAGE: eng

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AFFILIATION: Student Member, IEEE, Dept. of Electrical and Computer Engineering, University of Calgary (U of C), Calgary, AB, CANADA. phone: 403-220-4167; fax: 403-282-6855; e-mail: qwei@ucalgary.ca.

Country: United States

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