Computer-aided analysis of airway trees in micro-CT scans of ex vivo porcine lung tissue

Christian Bauer; Ryan Adam; David A Stoltz; Reinhard R Beichel

doi:10.1016/j.compmedimag.2012.08.001

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Computer-aided analysis of airway trees in micro-CT scans of ex vivo porcine lung tissue

Journal article

Open access

Peer reviewed

Computer-aided analysis of airway trees in micro-CT scans of ex vivo porcine lung tissue

Christian Bauer, Ryan Adam, David A Stoltz and Reinhard R Beichel

Computerized medical imaging and graphics, Vol.36(8), pp.601-609

12/2012

DOI: 10.1016/j.compmedimag.2012.08.001

PMCID: PMC3867272

PMID: 22959430

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https://www.ncbi.nlm.nih.gov/pmc/articles/3867272View

Open Access

Abstract

We present a highly automated approach to obtain detailed structural models of airway trees from ex vivo porcine lung tissue imaged with a high resolution micro-CT scanner. Such information is an important prerequisite to systematically study models of lung disease that affect airway morphology. The method initially identifies all tubular airway-like structures in the lung. In a second processing step, these structures are grouped into a connected airway tree by utilizing prior knowledge about the airway trees branching pattern. The method was evaluated on 12 micro-CT scans from four tracheal lobes of piglets imaged at three different inflation levels. For this study, two control piglets and two cystic fibrosis piglets were used. For systematic validation of our approach, an airway nomenclature was developed for the pig airway tree. Out of more than 3500 airway tree segments assessed during evaluation, 88.45% were correctly identified by the method. No false positive airway branches were found. A detailed performance analysis for different airway tree hierarchy levels, lung inflation levels and piglets with/without cystic fibrosis is presented in the paper.

Reproducibility of Results

Artificial Intelligence

Bronchi

Radiographic Image Enhancement - methods

Tomography, X-Ray Computed - methods

Cystic Fibrosis - diagnostic imaging

Bronchography - methods

Algorithms

Animals

Radiographic Image Interpretation, Computer-Assisted - methods

Swine

Sensitivity and Specificity

In Vitro Techniques

Pattern Recognition, Automated - methods

Details

Title: Subtitle: Computer-aided analysis of airway trees in micro-CT scans of ex vivo porcine lung tissue
Creators: Christian Bauer - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA. christian-bauer@uiowa.edu
Ryan Adam
David A Stoltz
Reinhard R Beichel
Resource Type: Journal article
Publication Details: Computerized medical imaging and graphics, Vol.36(8), pp.601-609
DOI: 10.1016/j.compmedimag.2012.08.001
PMID: 22959430
PMCID: PMC3867272
NLM abbreviation: Comput Med Imaging Graph
ISSN: 0895-6111
eISSN: 1879-0771
Publisher: United States
Grant note: HL111453 / NHLBI NIH HHS HL091842 / NHLBI NIH HHS P01 HL091842 / NHLBI NIH HHS HL051670 / NHLBI NIH HHS P01 HL051670 / NHLBI NIH HHS R01 HL111453 / NHLBI NIH HHS
Language: English
Date published: 12/2012
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Molecular Physiology and Biophysics; Pulmonary, Critical Care, and Occupational Medicine; Internal Medicine
Record Identifier: 9984025450402771

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