NDLI: Automatic segmentation of Pulmonary Artery (PA) in 3D pulmonary CTA images

Content Provider	IEEE Xplore Digital Library
Author	Ebrahimdoost, Y. Qanadli, S.D. Nikravanshalmani, A. Ellis, T.J. Shojaee, Z.F. Dehmeshki, J.
Copyright Year	2011
Description	Author affiliation: Health Science Department, Brunel University, Uxbridge, Middlesex UB8 3PH, UK (Shojaee, Z.F.) \|\| Faculty of Computing Information Systems and Mathematics, Kingston University, UK (Nikravanshalmani, A.; Ellis, T.J.; Dehmeshki, J.) \|\| Islamic Azad University, Islamshahr Branch, Tehran, Iran (Ebrahimdoost, Y.) \|\| Department of Radiology, University of Lausanne, Switzerland (Qanadli, S.D.)
Abstract	This paper proposes an efficient algorithm for segmenting the Pulmonary Artery (PA) tree in 3D pulmonary Computed Tomography Angiography (CTA) images. In this algorithm, to reduce the search area the lung regions from the original image are first segmented and the heart region is extracted by selecting the regions between the lungs. A pre-processing algorithm based on Hessian matrix and its eigenvalues is used to remove the connectivity between the pulmonary artery and other nearby pulmonary organs. To extract the pulmonary artery tree, we first use a region growing method initialized by a seed point which is automatically selected within the pulmonary artery trunk in the heart region. In the second step, the segmentation of the pulmonary artery is performed using a 3D level set algorithm, using the output of region grower as the initial contour. We use a new stopping criterion for the used level set algorithm, a consideration often neglected in many level set implementations. To validate and assess the robustness of the method, 20 CT angiography datasets were used (10 free pulmonary embolism scans and 10 CT with pulmonary emboli). A very good agreement with the visual judgment was obtained in both normal and positive pulmonary emboli CT scans.
Starting Page	1
Ending Page	5
File Size	459117
Page Count	5
File Format	PDF
ISBN	9781457702730
e-ISBN	9781457702747
DOI	10.1109/ICDSP.2011.6004964
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-06
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arteries Level set Image segmentation Lungs Computed tomography Three dimensional displays Biomedical imaging stopping criteria pulmonary artery segmentation level set feature map
Content Type	Text
Resource Type	Article

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