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Abstract #2431

Single-lung dynamics assessed using XD-GRASP MRI and automatic segmentation

Artem Mikheev1, Nicole Wake1, Henry Rusinek1, and Hersh Chandarana1

1Department of Radiology, NYU School of Medicine, New York, NY, United States

MRI is an attractive modality for monitoring dynamic lung function since it does not expose patients to ionizing radiation. In this study, a method to automatically segment the right and left lungs using XD-GRASP MRI was developed. The accuracy of our segmentation algorithm was assessed by comparing the automated segmentation results to manual segmentations outlined by expert observers. Excellent agreement was seen between the automated technique and the ground truth, suggesting clinical applicability of the method.

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