Vessel-guided airway segmentation based on voxel classification

Pechin Chien Pau Lo, Jon Sporring, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne

Abstract

This paper presents a method for improving airway tree segmentation using vessel orientation information. We use the fact that an airway branch is always accompanied by an artery, with both structures having similar orientations. This work is based on a  voxel classification airway segmentation method proposed previously. The probability of a voxel belonging to the airway, from the voxel classification method, is augmented with an orientation similarity measure as a criterion for region growing. The orientation similarity measure of a voxel indicates how similar is the orientation of the surroundings of a voxel, estimated based on a tube model, is to that of a neighboring vessel. The proposed method is tested on 20 CT images from different subjects selected randomly from a lung cancer screening study. Length of the airway branches from the results of the proposed method are significantly longer (p = 0.0125) as compared to only using probability from the voxel classification method.
Original languageEnglish
Title of host publicationThe first International Workshop on Pulmonary Image Analysis : New York, September 6, 2008
EditorsMatthew Brown, Marleen de Bruijne, Bram van Ginneken, Atilla Kiraly, Jan-Martin Kuhnigk, Cristian Lorenz, Kensaku Mori, Joseph Reinhardt
PublisherLulu.com
Publication date2008
Pages113-122
ISBN (Print)978-1-4357-5952-7
Publication statusPublished - 2008
EventInternational Workshop on Pulmonary Image Analysis: - New York, United States
Duration: 6 Sept 20086 Sept 2008
Conference number: 1

Conference

ConferenceInternational Workshop on Pulmonary Image Analysis:
Number1
Country/TerritoryUnited States
CityNew York
Period06/09/200806/09/2008

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