Program Information
Parallel MC Kernel Calculations for VMAT Plan Improvement
S Chamberlain1,2*, S French2 , D Nazareth2 , (1) State University of New York at Fredonia, Fredonia, NY, (2) Roswell Park Cancer Institute, Buffalo, NY
Presentations
SU-F-SPS-9 (Sunday, July 31, 2016) 3:00 PM - 6:00 PM Room: Exhibit Hall
Purpose: Adding kernels (small perturbations in leaf positions) to the existing apertures of VMAT control points may improve plan quality. We investigate the calculation of kernel doses using a parallelized Monte Carlo (MC) method.
Methods: A clinical prostate VMAT DICOM plan was exported from Eclipse. An arbitrary control point and leaf were chosen, and a modified MLC file was created, corresponding to the leaf position offset by 0.5cm. The additional dose produced by this 0.5 cm x 0.5 cm kernel was calculated using the DOSXYZnrc component module of BEAMnrc. A range of particle history counts were run (varying from 3 x 10⁶ to 3 x 10⁷); each job was split among 1, 10, or 100 parallel processes. A particle count of 3 x 10⁶ was established as the lower range because it provided the minimal accuracy level.
Results: As expected, an increase in particle counts linearly increases run time. For the lowest particle count, the time varied from 30 hours for the single-processor run, to 0.30 hours for the 100-processor run.
Conclusion: Parallel processing of MC calculations in the EGS framework significantly decreases time necessary for each kernel dose calculation. Particle counts lower than 1 x 10⁶ have too large of an error to output accurate dose for a Monte Carlo kernel calculation. Future work will investigate increasing the number of parallel processes and optimizing run times for multiple kernel calculations.
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