Segmentation for pulmonary artery from mediastinum to lung in CTA datasets. (1st January 2013)

• Record Type: Journal Article
• Authors: Zhang, Jiehui; He, Zhongshi; Dehmeshki, Jamshid
• Is Part Of: International journal of innovative computing and applications. Volume 5:Number 1(2013)
• Page Start: 37
• Page End: 46
• Publication Date: 2013-01-01
• Subjects: pulmonary artery -- PA -- computed tomography angiography -- CTA -- segmentation -- region growing -- mediastinum; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

This paper presents a novel approach for segmenting and tracking pulmonary artery tree from mediastinum to lung in computed tomography angiography images. An algorithm based on region growing and slice marching methods is proposed for vessel tree tracking, and the approach also combines with context-contour-based mediastinum segmentation, feature map filter, and 3D morphological techniques to assist the track of pulmonary artery in avoiding leakage problem. We have evaluated our method on 18 continuous clinical patient data and demonstrated its ability to correctly separate pulmonary arteries from other blood vessels, and robustly handle noise.