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Proceedings Paper

Automated pulmonary lobar ventilation measurements using volume-matched thoracic CT and MRI
Author(s): F. Guo; S. Svenningsen; E. Bluemke; Martin Rajchl; Jing Yuan; Aaron Fenster; Grace Parraga
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Paper Abstract

Objectives: To develop and evaluate an automated registration and segmentation pipeline for regional lobar pulmonary structure-function measurements, using volume-matched thoracic CT and MRI in order to guide therapy. Methods: Ten subjects underwent pulmonary function tests and volume-matched 1H and 3He MRI and thoracic CT during a single 2-hr visit. CT was registered to 1H MRI using an affine method that incorporated block-matching and this was followed by a deformable step using free-form deformation. The resultant deformation field was used to deform the associated CT lobe mask that was generated using commercial software. 3He-1H image registration used the same two-step registration method and 3He ventilation was segmented using hierarchical k-means clustering. Whole lung and lobar 3He ventilation and ventilation defect percent (VDP) were generated by mapping ventilation defects to CT-defined whole lung and lobe volumes. Target CT-3He registration accuracy was evaluated using region- , surface distance- and volume-based metrics. Automated whole lung and lobar VDP was compared with semi-automated and manual results using paired t-tests. Results: The proposed pipeline yielded regional spatial agreement of 88.0±0.9% and surface distance error of 3.9±0.5 mm. Automated and manual whole lung and lobar ventilation and VDP were not significantly different and they were significantly correlated (r = 0.77, p < 0.0001). Conclusion: The proposed automated pipeline can be used to generate regional pulmonary structural-functional maps with high accuracy and robustness, providing an important tool for image-guided pulmonary interventions.

Paper Details

Date Published: 17 March 2015
PDF: 9 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 941717 (17 March 2015); doi: 10.1117/12.2076398
Show Author Affiliations
F. Guo, The Univ. of Western Ontario (Canada)
S. Svenningsen, The Univ. of Western Ontario (Canada)
E. Bluemke, The Univ. of Western Ontario (Canada)
Martin Rajchl, The Univ. of Western Ontario (Canada)
Jing Yuan, The Univ. of Western Ontario (Canada)
Aaron Fenster, The Univ. of Western Ontario (Canada)
Grace Parraga, The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

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