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Fourier decomposition free-breathing 1H MRI perfusion maps in asthma
Author(s): Alexander M. Matheson; Dante P. I. Capaldi; Fumin Guo; Rachel L. Eddy; David G. McCormack; Grace Parraga
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Paper Abstract

Objective: We aimed to develop a user-friendly image-analysis pipeline to simultaneously generate perfusion and ventilation maps derived from Fourier decomposition of free-breathing pulmonary 1H magnetic resonance imaging (FDMRI). Methods: Free-breathing 1H MR images were non-rigidly deformed to a 1H reference image selected halfway between inspiration and expiration, using modality independent neighbourhood descriptor-based registration. The 1H reference image was segmented using multi-region coupled continuous max-flow. The co-registered image sequence was Fourier transformed on a voxel-by-voxel basis to generate images of the voxel-wise power spectrum. The two largest intensity peaks in the power spectrum corresponded to respiratory and cardiac frequencies, which were used to generate ventilation and perfusion maps, respectively. Perfusion and ventilation defects were measured using fuzzy c-means clustering in 15 asthmatics who provided written-informed-consent to pulmonary function tests and MRI. Results: The proposed FDMRI pipeline was used to generate perfusion maps in 15 asthma patients for direct comparison with 3He and FDMRI ventilation maps. FDMRI perfusion measurements were significantly correlated with FDMRI (r2=0.48, p=0.03) and 3He MRI ventilation (r2=0.44, p=0.05). Conclusion: Ventilation and perfusion free-breathing 1H MRI maps were generated in asthmatics with clinicallyacceptable accuracy and minimal user interaction using a pipeline compatible with high throughput clinical workflows.

Paper Details

Date Published: 15 March 2019
PDF: 9 pages
Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 1094912 (15 March 2019); doi: 10.1117/12.2512436
Show Author Affiliations
Alexander M. Matheson, Western Univ. (Canada)
Dante P. I. Capaldi, Stanford Univ. (United States)
Fumin Guo, Univ. of Toronto (Canada)
Rachel L. Eddy, Western Univ. (Canada)
Stanford Univ. (United States)
David G. McCormack, The Univ. of Western Ontario (Canada)
Grace Parraga, Western Univ. (Canada)
The Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 10949:
Medical Imaging 2019: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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