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Abstract #2559

Semi-Automated Atlas-Based MRI Lung Volumetry

Christina Rose Lurie1, Eduard Schreibmann2,3, James Robert Costello1, Puneet Sharma1, Hiroumi Kitajima1, Bobby Kalb1, Timothy Fox2,3, Diego Raul Martin1

1Radiology, Emory University School of Medicine, Atlanta, GA, United States; 2Radiation Oncology, Emory University School of Medicine, Atlanta, GA, United States; 3Winship Cancer Institute of Emory University, Atlanta, GA, United States


Lung diseases are common and pulmonary function tests (PFT) serve as important measures of lung biomechanics, but PFT is limited to only indirect measures of combined lung volume changes. MRI may provide non-xray-based techniques to perform direct visualization of lungs with potential for multifaceted evaluation of pulmonary biomechanics, but is limited by prohibitive time-consuming data analysis post-processing steps. We have undertaken development of lung MRI image automated post-processing atlas-based lung segmentation and volumetry and show early validation steps by comparing MRI measures of lung volumes, performed in under 20 min, to PFT results with good correlation.

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