A method for modeling laterally asymmetric proton beamlets resulting from collimation. Issue 3 (25th February 2015)

• Record Type: Journal Article
• Authors: Gelover, Edgar; Wang, Dongxu; Hill, Patrick M.; Flynn, Ryan T.; Gao, Mingcheng; Laub, Steve; Pankuch, Mark; Hyer, Daniel E.
• Is Part Of: Medical physics. Volume 42:Issue 3(2015)
• Page Start: 1321
• Page End: 1334
• Publication Date: 2015-02-25
• Subjects: biomedical measurement -- data analysis -- dosimetry -- Gaussian processes -- Monte Carlo methods -- radiation therapy; Dose‐volume analysis -- Probability theory, stochastic processes, and statistics -- Monte Carlo methods -- Treatment strategy; Measuring for diagnostic purposes; Identification of persons -- Radiation therapy -- Biological material, e.g. blood, urine; Haemocytometers -- Scintigraphy; asymmetric -- IMPT -- protons -- penumbra -- collimation; Protons -- Monte Carlo methods -- Collimation -- Medical treatment planning -- Collimators -- Interpolation -- Signal generators -- Proton therapy -- Optical microcavities -- Multileaf collimators; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4907965
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: To introduce a method to model the 3D dose distribution of laterally asymmetric proton beamlets resulting from collimation. The model enables rapid beamlet calculation for spot scanning (SS) delivery using a novel penumbra‐reducing dynamic collimation system (DCS) with two pairs of trimmers oriented perpendicular to each other. Methods: Trimmed beamlet dose distributions in water were simulated with MCNPX and the collimating effects noted in the simulations were validated by experimental measurement. The simulated beamlets were modeled analytically using integral depth dose curves along with an asymmetric Gaussian function to represent fluence in the beam's eye view (BEV). The BEV parameters consisted of Gaussian standard deviations (sigmas) along each primary axis ( σ x 1, σ x 2, σ y 1, σ y 2 ) together with the spatial location of the maximum dose ( μx, μy ). Percent depth dose variation with trimmer position was accounted for with a depth‐dependent correction function. Beamlet growth with depth was accounted for by combining the in‐air divergence with Hong's fit of the Highland approximation along each axis in the BEV. Results: The beamlet model showed excellent agreement with the Monte Carlo simulation data used as a benchmark. The overall passing rate for a 3D gamma test with 3%/3 mm passing criteria was 96.1% between the analytical model and Monte Carlo data in an example treatment plan. Conclusions: The analytical model is capable of accurately representing individual asymmetric beamlets resulting from use of the DCS. This method enables integration of the DCS into a treatment planning system to perform dose computation in patient datasets. The method could be generalized for use with any SS collimation system in which blades, leaves, or trimmers are used to laterally sharpen beamlets.