SU-C-218-06: Evaluation of a CT-Based, Semi-Automated Lung Mass Estimation Method Under Varying Acquisition Conditions

Medical Physics
N BusseT Pan

Abstract

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. CT scans from ten patients undergoing stereotactic body radiation therapy treatment planning on a GE DST PET/CT scanner were analyzed retrospectively. For each patient, free- breathing (FB) and respiratory gated 4D-CT scans were acquired. 4D-CT scans were reconstructed and sorted into ten phases representing one complete respiratory cycle. An average CT (ACT) was derived from the ten phase reconstructions. Half the patients also had breath-hold (BH) scans. Scans were analyzed using Osirix MD's V 1.3 (Pixmeo, Geneva Switzerland) Grow Region segmentation tool. Lung volume; average lung, tissue (∼lcm ROI in the descending aorta), and air (∼1 cm ROI in the trachea) HU's were recorded for each acquisition type. Lung mass was calculated by assuming each voxel is a linear combination of only air and tissue. The fraction of total lung volume consisting of lung tissue is assumed to be (lung HU - air HU) / (tissue HU - air HU), and mass = total volume X fraction X 1 g/cm(3) . 4D-CT mass estimates showed variability, with a minimum at end-expiration and a maximum just after end-i...Continue Reading

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