Conference proceeding
Estimation of lung lobar sliding using image registration
Proceedings of SPIE, Vol.8317(1), pp.83171H-83171H-8
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
03/22/2012
DOI: 10.1117/12.911614
Abstract
MOTIVATION: The lobes of the lungs slide relative to each other during breathing. Quantifying lobar sliding can aid in
better understanding lung function, better modeling of lung dynamics, and a better understanding of the limits of image
registration performance near fissures. We have developed a method to estimate lobar sliding in the lung from image
registration of CT scans.
METHODS: Six human lungs were analyzed using CT scans spanning functional residual capacity (FRC) to total lung
capacity (TLC). The lung lobes were segmented and registered on a lobe-by-lobe basis. The displacement fields from the
independent lobe registrations were then combined into a single image. This technique allows for displacement
discontinuity at lobar boundaries. The displacement field was then analyzed as a continuum by forming finite elements
from the voxel grid of the FRC image. Elements at a discontinuity will appear to have undergone significantly elevated
'shear stretch' compared to those within the parenchyma. Shear stretch is shown to be a good measure of sliding
magnitude in this context.
RESULTS: The sliding map clearly delineated the fissures of the lung. The fissure between the right upper and right
lower lobes showed the greatest sliding in all subjects while the fissure between the right upper and right middle lobe
showed the least sliding.
Details
- Title: Subtitle
- Estimation of lung lobar sliding using image registration
- Creators
- Ryan Amelon - University of IowaKunlin Cao - University of IowaJoseph M Reinhardt - University of IowaGary E Christensen - University of IowaMadhavan Raghavan - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.8317(1), pp.83171H-83171H-8
- Conference
- Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
- DOI
- 10.1117/12.911614
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/22/2012
- Academic Unit
- Electrical and Computer Engineering; Radiology; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984197132102771
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