Lung detection by using geodesic active contour model based on characteristics of lung parenchyma region

Chul Ho Won, Seung Ik Lee, Dong Hun Kim, Jin Ho Cho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the curve stopping function based on the CT number of lung parenchyma from CT lung images is proposed to detect lung region in replacement of conventional edge indication function in geodesic active contour model. We showed that the proposed method was able to detect lung region more effectively than conventional method by applying three kinds of measurement numerically. And, we verified the effectiveness of our method visually by observing the detection procedure on actual CT images. Because lung parenchyma region could be precisely detected from actual EBCT lung images, we were sure that the proposed method could aid to early diagnosis of lung disease and local abnormality of lung function.

Original languageEnglish
Title of host publicationAdvances in Mulitmedia Information Processing - PCM 2005 - 6th Pacific Rim Conference on Multimedia, Proceedings
Pages888-898
Number of pages11
DOIs
StatePublished - 2005
Event6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005 - Jeju Island, Korea, Republic of
Duration: 13 Nov 200516 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3767 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/11/0516/11/05

Keywords

  • CT images
  • Early diagnosis
  • Geodesic active contour
  • Lung disease

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