Tracking 3-D pulmonary tree structures

Chandrasekhar Pisupati, Wayne Mitzner, Lawrence Wolff, Elias Zerhouni

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish (US)
Pages160-169
Number of pages10
DOIs
StatePublished - 1996
EventProceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis - San Francisco, CA, USA
Duration: Jun 21 1996Jun 22 1996

Other

OtherProceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis
CitySan Francisco, CA, USA
Period6/21/966/22/96

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Tracking 3-D pulmonary tree structures'. Together they form a unique fingerprint.

Cite this