Evaluation of Lobar Biomechanics during Respiration Using Image Registration

Kai Ding; Youbing Yin; Kunlin Cao; Gary E Christensen; Ching-Long Lin; Eric A Hoffman; Joseph M Reinhardt

doi:10.1007/978-3-642-04268-3_91

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Evaluation of Lobar Biomechanics during Respiration Using Image Registration

Book chapter

Open access

Peer reviewed

Evaluation of Lobar Biomechanics during Respiration Using Image Registration

Kai Ding, Youbing Yin, Kunlin Cao, Gary E Christensen, Ching-Long Lin, Eric A Hoffman and Joseph M Reinhardt

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, pp.739-746

Lecture Notes in Computer Science, Springer Berlin Heidelberg

2009

DOI: 10.1007/978-3-642-04268-3_91

PMCID: PMC2913717

PMID: 20426054

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Abstract

The human lungs are divided into five independent compartments called lobes. The lobar fissures separate the lung lobes. It is hypothesized that the lobar surfaces slide against each other during respiration. We propose a method to evaluate the sliding motion of the lobar surfaces during respiration using lobe-by-lobe mass-preserving non-rigid image registration. We measure lobar sliding by evaluating the relative displacement on both sides of the fissure. The results show a superior-inferior gradient in the magnitude of lobar sliding. We compare whole-lung-based registration accuracy to lobe-by-lobe registration accuracy using vessel bifurcation landmarks.

Functional Residual Capacity

Image Registration

Registration Accuracy

Registration Method

Total Lung Capacity

Details

Title: Subtitle: Evaluation of Lobar Biomechanics during Respiration Using Image Registration
Creators: Kai Ding - Department of Biomedical Engineering, USA
Youbing Yin - Department of Mechanical and Industrial Engineering, USA
Kunlin Cao - University of Iowa
Gary E Christensen - University of Iowa, Electrical and Computer Engineering
Ching-Long Lin - University of Iowa, Mechanical Engineering
Eric A Hoffman - University of Iowa, Radiology
Joseph M Reinhardt - University of Iowa, Roy J. Carver Department of Biomedical Engineering
Resource Type: Book chapter
Publication Details: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, pp.739-746
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-642-04268-3_91
PMID: 20426054
PMCID: PMC2913717
eISSN: 1611-3349
ISSN: 0302-9743
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Language: English
Date published: 2009
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Mechanical Engineering; Internal Medicine
Record Identifier: 9984195168102771

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