Texture Analysis as an Adjunct to Hyperpolarized 129Xe Ventilation Defect Percentage for Quantifying Cystic Fibrosis Lung Disease Severity
Dustin J. Basler1, Abdullah S. Bdaiwi1,2, Matthew M. Willmering1, Laura L. Walkup1,2,3,4, Zackary I. Cleveland1,2,3,4, and Jason C. Woods1,3,4
1Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States
MRI of hyperpolarized 129Xe has been shown to be a robust, non-invasive biomarker to assess pulmonary disease pathophysiology. Static spin-density maps (ventilation images) are commonly analyzed using the ventilation defect percentage (VDP) to quantify the degree of airway obstruction in diseases including asthma, chronic obstructive pulmonary disease, and cystic fibrosis. However, VDP reduces the intrinsic 3D-spatial richness of ventilation images to a global measure, suppressing underlying spatial correlations. In this work, a gray-level run-length matrix (GLRLM) analysis is assessed as an adjunct to VDP analysis for quantifying obstruction in Cystic Fibrosis (CF) lung disease, relative to a healthy control cohort.
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