Oncology Presentations


Thurs Eve23: Effect of lung density and geometry variation on inhomogeneity correction algorithms: A Monte Carlo dosimetry evaluation

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Medical Physics





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This study provides new information on the evaluation of the lung dose calculation algorithms as a function of the relative electron density of lung, ρe,lung. Doses calculated using the collapsed cone convolution (CCC) and adaptive convolution (AC) algorithm in lung with the Pinnacle3 system were compared to those calculated using the Monte Carlo(MC) simulation (EGSnrc‐based code). Three groups of lung phantoms, namely, “Slab”, “Column” and “Cube” with different ρe,lung (0.05–0.7), positions, volumes and shapes of lung in water were used. 6 and 18MV photon beams with 4×4 and 10×10cm2field sizes produced by a Varian 21EX Linac were used in the MC dose calculations. Results show that the CCC algorithm agrees well with AC to within ±1% for doses calculated in the lung phantoms, indicating that the AC, with 3–4 times less computing time required than CCC, is a good substitute for the CCC method. Comparing the CCC and AC with MC, dose deviations are found when ρe,lung are ⩽0.1–0.3. The degree of deviation depends on the photon beam energy and field size, and is relatively large when high‐energy photon beams with small field are used. For the penumbra widths (20%–80%), the CCC and AC agree well with MC for the “Slab” and “Cube” phantoms with the lung volumes at the central beam axis (CAX). However, deviations >2mm occur in the “Column” phantoms, with two lung volumes separated by a water column along the CAX, using the 18MV (4×4cm2) photon beams with ρe,lung ⩽0.1.

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