Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation

Joseph M Reinhardt; Gary E Christensen; Eric A Hoffman; Kai Ding; Kunlin Cao

doi:10.1007/978-3-540-73273-0_63

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Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation

Book chapter

Peer reviewed

Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation

Joseph M Reinhardt, Gary E Christensen, Eric A Hoffman, Kai Ding and Kunlin Cao

Information Processing in Medical Imaging, pp.763-774

Lecture Notes in Computer Science, Springer Berlin Heidelberg

2007

DOI: 10.1007/978-3-540-73273-0_63

PMID: 17633746

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Abstract

The main function of the respiratory system is gas exchange. Since many disease or injury conditions can cause biomechanical or material property changes that can alter lung function, there is a great interest in measuring regional lung ventilation. We describe a registration-based technique for estimating local lung expansion from multiple respiratory-gated CT images of the thorax. The degree of regional lung expansion is measured using the Jacobian of the registration displacement field. We compare lung expansion estimated across five pressure changes to a xenon CT based measure of specific ventilation, and have shown good agreement (linear regression, r2 = 0.89 during gas wash-in) in one animal.

Image Registration

Lung Expansion

Regional Lung Ventilation

Regional Ventilation

Registration Accuracy

Details

Title: Subtitle: Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation
Creators: Joseph M Reinhardt - University of Iowa
Gary E Christensen - University of Iowa
Eric A Hoffman - University of Iowa
Kai Ding - University of Iowa
Kunlin Cao - University of Iowa
Resource Type: Book chapter
Publication Details: Information Processing in Medical Imaging, pp.763-774
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-73273-0_63
PMID: 17633746
eISSN: 1611-3349
ISSN: 0302-9743
Language: English
Date published: 2007
Academic Unit: Holden Comprehensive Cancer Center; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Advanced Pulmonary Physiomic Imaging Laboratory; Radiation Oncology; Radiology; Iowa Technology Institute; Internal Medicine
Record Identifier: 9984197140002771

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