Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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Lung cancer is the most common cause of cancer-related death. A common treatment is radiotherapy where the lung tumors are irradiated with ionizing radiation. The treatment is typically fractionated, i.e. spread out over time, allowing healthy tissue to recover between treatments and allowing tumor cells to be hit in their most sensitive phase. Changes in tumors over the course of treatment allows for an adaptation of the radiotherapy plan based on 3D computer tomography imaging. This paper introduces a method for segmentation of lung tumors on consecutive computed tomography images. These images are normally only used for correction of movements. The method uses graphs based on electric flow lines. The method offers several advantages when trying to replicate manual segmentations. The method gave a dice coefficient of 0.85 and performed better than level set methods and deformable registration.
Original languageEnglish
TitleImage Analysis and Recognition : 9th International Conference, ICIAR 2012 Aveiro, Portugal, June 25-27, 2012 Proceedings, Part II
PublisherSpringer
Publication date2012
Pages206-213
ISBN (print)978-3-642-31297-7
ISBN (electronic)978-3-642-31298-4
DOIs
StatePublished

Conference

ConferenceInternational Conference on Image Analysis and Recognition, ICIAR 2012
CountryPortugal
CityAveiro
Period25/06/1227/06/12
Internet addresshttp://www.iciar.uwaterloo.ca/iciar12/
NameLecture Notes in Computer Science
Number7325
ISSN (Print)0302-9743
CitationsWeb of Science® Times Cited: No match on DOI

Keywords

  • Electric flow line, Segmentation, Lung tumor, Graph cut
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