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Proceedings Paper

Development and application of pulmonary structure-function registration methods: towards pulmonary image-guidance tools for improved airway targeted therapies and outcomes
Author(s): Fumin Guo; Damien Pike; Sarah Svenningsen; Harvey O. Coxson; John J. Drozd; Jing Yuan; Aaron Fenster; Grace Parraga
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Paper Abstract

Objectives: We aimed to develop a way to rapidly generate multi-modality (MRI-CT) pulmonary imaging structurefunction maps using novel non-rigid image registration methods. This objective is part of our overarching goal to provide an image processing pipeline to generate pulmonary structure-function maps and guide airway-targeted therapies.

Methods: Anatomical 1H and functional 3He MRI were acquired in 5 healthy asymptomatic ex-smokers and 7 ex-smokers with chronic obstructive pulmonary disease (COPD) at inspiration breath-hold. Thoracic CT was performed within ten minutes of MRI using the same breath-hold volume. Landmark-based affine registration methods previously validated for imaging of COPD, was based on corresponding fiducial markers located in both CT and 1H MRI coronal slices and compared with shape-based CT-MRI non-rigid registration. Shape-based CT-MRI registration was developed by first identifying the shapes of the lung cavities manually, and then registering the two shapes using affine and thin-plate spline algorithms. We compared registration accuracy using the fiducial localization error (FLE) and target registration error (TRE).

Results: For landmark-based registration, the TRE was 8.4±5.3 mm for whole lung and 7.8±4.6 mm for the R and L lungs registered independently (p=0.4). For shape-based registration, the TRE was 8.0±4.6 mm for whole lung as compared to 6.9±4.4 mm for the R and L lung registered independently and this difference was significant (p=0.01). The difference for shape-based (6.9±4.4 mm) and landmark-based R and L lung registration (7.8±4.6 mm) was also significant (p=.04)

Conclusion: Shape-based registration TRE was significantly improved compared to landmark-based registration when considering L and R lungs independently.

Paper Details

Date Published: 13 March 2014
PDF: 11 pages
Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 90380Y (13 March 2014); doi: 10.1117/12.2043534
Show Author Affiliations
Fumin Guo, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Damien Pike, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Sarah Svenningsen, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Harvey O. Coxson, Vancouver General Hospital (Canada)
James Hogg Research Ctr., Univ. of British Columbia (Canada)
John J. Drozd, Robarts Research Institute (Canada)
Jing Yuan, Robarts Research Institute (Canada)
Aaron Fenster, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Grace Parraga, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 9038:
Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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