Airway Tree Extraction with Locally Optimal Paths

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

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Abstract

This paper proposes a method to extract the airway tree from CT images by continually extending the tree with locally optimal paths. This is in contrast to commonly used region growing based approaches that only search the space of the immediate neighbors. The result is a much more robust method for tree extraction that can overcome local occlusions. The cost function for obtaining the optimal paths takes into account of an airway probability map as well as measures of airway shape and orientation derived from multi-scale Hessian eigen analysis on the airway probability. Significant improvements were achieved compared to a region growing based method, with up to 36% longer trees at a slight increase of false positive rate.
Original languageEnglish
Title of host publicationMICCAI 2009
Number of pages8
Publication date2009
Pages51-58
DOIs
Publication statusPublished - 2009
EventMICCAI 2009 - London, United Kingdom
Duration: 20 Sep 200924 Sep 2009
Conference number: 12

Conference

ConferenceMICCAI 2009
Number12
Country/TerritoryUnited Kingdom
CityLondon
Period20/09/200924/09/2009

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