Lung mass was calculated by assuming each voxel is a linear combination of only air and tissue. Lung volume average lung, tissue (~1cm ROI in the descending aorta), and air (~1cm ROI in the trachea) HU's were recorded for each acquisition type. Scans were analyzed using Osirix MD's V 1.3 (Pixmeo, Geneva Switzerland) Grow Region segmentation tool. Half the patients also had breath-hold (BH) scans. An average CT (ACT) was derived from the ten phase reconstructions. 4D-CT scans were reconstructed and sorted into ten phases representing one complete respiratory cycle. For each patient, free-breathing (FB) and respiratory gated 4D-CT scans were acquired. Methods: CT scans from ten patients undergoing stereotactic body radiation therapy treatment planning on a GE DST PET/CT scanner were analyzed retrospectively. Purpose: To evaluate a simple, semi-automated lung mass estimation method on CT scans from a variety of acquisition techniques for mass correction of MIRD dose estimates. N Busse*, W Erwin, T Pan, UT MD Anderson Cancer Center, Houston, TX Evaluation of a CT-Based, Semi-Automated Lung Mass Estimation Method Under Varying Acquisition Conditions
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