Fumin Guo1, Khadija Sheikh1, Rachel Eddy1, Dante PI Capaldi1, David G McCormack2, Aaron Fenster1, and Grace Parraga1
1Robarts Research Institute, The University of Western Ontario, London, ON, Canada, 2Department of Medicine, The University of Western Ontario, London, ON, Canada
Clinical translation of hyperpolarized 129Xe MRI for large-scale
and multi-centre applications requires image analysis tools that can provide clinically-acceptable
measurements of pulmonary information. Here we proposed a pipeline that
consists of 1H-129Xe registration, segmentation and ventilation defects
generation for regional and quantitative evaluation of 129Xe ventilation. 1H-129Xe registration was performed
using a state-of-art registration approach. 1H MRI segmentation was performed using
primal-dual analysis methods and modern convex optimization techniques with incorporation
of region information from 129Xe MRI. We applied the pipeline across a range of pulmonary
abnormalities and this computationally efficient pipeline demonstrated high agreement
with reference standard, suggesting its suitability for efficient clinical
workflows.
