Registration pipeline for pulmonary free-breathing 1H MRI ventilation measurements

Fumin Guo; Dante P. I. Capaldi; Robert Di Cesare; Aaron Fenster; Grace Parraga

doi:10.1117/12.2253879

13 March 2017 Registration pipeline for pulmonary free-breathing ¹H MRI ventilation measurements

Fumin Guo, Dante P. I. Capaldi, Robert Di Cesare, Aaron Fenster, Grace Parraga

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370A (2017) https://doi.org/10.1117/12.2253879
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Objectives: Our aim was to develop a clinically-practical and physiologically-relevant approach for regional structure-function measurements of the lung using Fourier decomposition of free-breathing pulmonary magnetic resonance imaging (FDMRI). Methods: Ten patients with chronic obstructive pulmonary disease provided written informed consent to a study protocol approved by Health Canada and completed pulmonary function tests, 1H/hyperpolarized noble gas and free-breathing pulmonary magnetic resonance imaging (MRI) during a single 2-hour visit. Free-breathing ¹H MRI was simultaneously segmented using a multi-region coupled continuous max-flow approach by exploring primal/dual analysis and convex optimization techniques. The segmented free-breathing 1H MRI lung was registered using deformable registration approach that was developed using dual and convex optimization methods to compensate for respiratory/cardiac motion. Fourier decomposition of the co-registered lung was used to generate pulmonary functional information that was quantified as ventilation-defect-percent (VDP). The pipeline was implemented on a GPU for speed-up. Lung segmentation accuracy was measured by comparing algorithm and manual lung masks using Dice-similarity-coefficient (DSC). FD-VDP was compared to ³He-VDP using Pearson correlation coefficient and Bland-Altman analysis. The reproducibility of our algorithm was measured using coefficient of variation (CoV) and intraclass correlation coefficient (ICC) for DSC and FD-VDP. Results: The pipeline yielded a whole lung DSC of 95.7±1.7% and FD-VDP that were correlated with ³He-VDP (r = 0.81, p = 0.004). CoV (ICC) were 0.4% (0.98) and 4.1% (0.98) for whole lung DSC and FD-VDP, respectively. The proposed approach requires ~45 min for parallel implementation with minimal user interaction. Conclusion: The proposed approach provides a clinically-practical pipeline to generate regional pulmonary structure-function measurements using free-breathing pulmonary ¹HMRI with promising potential for widespread clinical translation.

Citation Download Citation

Fumin Guo, Dante P. I. Capaldi, Robert Di Cesare, Aaron Fenster, and Grace Parraga "Registration pipeline for pulmonary free-breathing ¹H MRI ventilation measurements", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101370A (13 March 2017); https://doi.org/10.1117/12.2253879

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