A tree-matching algorithm: Application to airways in CT images of subjects with the acute respiratory distress syndrome
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- 作者：Alfredo Morales Pinzó ; na ; b ; alf-mora@uniandes.edu.co" class="auth_mail" title="E-mail the corresponding author ; Marcela Herná ; ndez Hoyosa ; marc-her@uniandes.edu.co" class="auth_mail" title="E-mail the corresponding author ; Jean-Christophe Richardb ; c ; j-christophe.richard@chu-lyon.fr" class="auth_mail" title="E-mail the corresponding author ; Leonardo Fló ; rez-Valenciad ; florez-l@javeriana.edu.co" class="auth_mail" title="E-mail the corresponding author ; Maciej Orkisz ; b ; maciej.orkisz@creatis.insa-lyon.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Tree matching ; Airway tree ; Acute respiratory distress syndrome ; Computed tomography
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：101-115
- 全文大小：2940 K
文摘
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We propose a modified Best-first search strategy with successive subtree-translation.
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We propose a distance function combining geometrical and topological information.
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The method can cope with topological distortions of the segmented trees.
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The method achieved high sensitivity and precision, respectively 94.3% and 92.8%.
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On average, the method found 150 correct matches and missed 9 matches per airway-tree pair.