Tracking 3-D pulmonary tree structures

Chandrasekhar Pisupati; Wayne Mitzner; Lawrence Wolff; Elias Zerhouni

doi:10.1109/mmbia.1996.534068

Tracking 3-D pulmonary tree structures

Chandrasekhar Pisupati, Wayne Mitzner, Lawrence Wolff, Elias Zerhouni

Research output: Contribution to conference › Paper › peer-review

14 Scopus citations

Abstract

To facilitate physiological measurements and study relative structural changes, the 3-D lung tree volumes are reduced to a 3-D Euclidean straight line central axis tree. Matching of 3-D volumes is accomplished by designing an algorithm that matches their corresponding central axis trees. The algorithm produced accurate matchings on various airway data sets of a dog lung obtained from Computed Tomography under simulated breathing conditions. The T₁ and T₂ central axis trees are obtained by running a two-pass central axis algorithm on the tree volumes.

Original language	English (US)
Pages	160-169
Number of pages	10
DOIs	https://doi.org/10.1109/mmbia.1996.534068
State	Published - 1996
Event	Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis - San Francisco, CA, USA Duration: Jun 21 1996 → Jun 22 1996

Other

Other	Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis
City	San Francisco, CA, USA
Period	6/21/96 → 6/22/96

ASJC Scopus subject areas

General Engineering

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10.1109/mmbia.1996.534068

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title = "Tracking 3-D pulmonary tree structures",

abstract = "To facilitate physiological measurements and study relative structural changes, the 3-D lung tree volumes are reduced to a 3-D Euclidean straight line central axis tree. Matching of 3-D volumes is accomplished by designing an algorithm that matches their corresponding central axis trees. The algorithm produced accurate matchings on various airway data sets of a dog lung obtained from Computed Tomography under simulated breathing conditions. The T1 and T2 central axis trees are obtained by running a two-pass central axis algorithm on the tree volumes.",

author = "Chandrasekhar Pisupati and Wayne Mitzner and Lawrence Wolff and Elias Zerhouni",

year = "1996",

doi = "10.1109/mmbia.1996.534068",

language = "English (US)",

pages = "160--169",

note = "Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis ; Conference date: 21-06-1996 Through 22-06-1996",

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T1 - Tracking 3-D pulmonary tree structures

AU - Pisupati, Chandrasekhar

AU - Mitzner, Wayne

AU - Wolff, Lawrence

AU - Zerhouni, Elias

PY - 1996

Y1 - 1996

N2 - To facilitate physiological measurements and study relative structural changes, the 3-D lung tree volumes are reduced to a 3-D Euclidean straight line central axis tree. Matching of 3-D volumes is accomplished by designing an algorithm that matches their corresponding central axis trees. The algorithm produced accurate matchings on various airway data sets of a dog lung obtained from Computed Tomography under simulated breathing conditions. The T1 and T2 central axis trees are obtained by running a two-pass central axis algorithm on the tree volumes.

AB - To facilitate physiological measurements and study relative structural changes, the 3-D lung tree volumes are reduced to a 3-D Euclidean straight line central axis tree. Matching of 3-D volumes is accomplished by designing an algorithm that matches their corresponding central axis trees. The algorithm produced accurate matchings on various airway data sets of a dog lung obtained from Computed Tomography under simulated breathing conditions. The T1 and T2 central axis trees are obtained by running a two-pass central axis algorithm on the tree volumes.

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UR - http://www.scopus.com/inward/citedby.url?scp=0029709105&partnerID=8YFLogxK

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DO - 10.1109/mmbia.1996.534068

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T2 - Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis

Y2 - 21 June 1996 through 22 June 1996

ER -

Tracking 3-D pulmonary tree structures

Abstract

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