SU-E-T-504: Incident Fluence Reconstruction Based on Monte Carlo Finite-Size Pencil Beam Model for Dose Guided Radiation Therapy

2012 ◽  
Vol 39 (6Part18) ◽  
pp. 3821-3821
Author(s):  
Gui LI ◽  
Yican WU ◽  
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Finite Size ◽  
Beam Model ◽  
Pencil Beam

Photon Dose Calculation Method Based on Monte Carlo Finite-Size Pencil Beam Model in Accurate Radiotherapy

2013 ◽  
Vol 14 (5) ◽  
pp. 1415-1422 ◽  
Author(s):  
Huaqing Zheng ◽  
Guangyao Sun ◽  
Gui Li ◽  
Ruifen Cao ◽  
Xi Pei ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Plan ◽  
Finite Size ◽  
Dose Calculation ◽  
Maximum Error ◽  
Beam Model ◽  
Pencil Beam ◽  
Symmetry Principle ◽  
Clinical Criteria ◽  
Photon Dose

AbstractThis study mainly focused on the key technologies, the photon dose calculation based on the Monte Carlo Finite-Size Pencil Beam (MCFSPB) model in the Accurate Radiotherapy System (ARTS). In the MCFSPB model, the acquisition of pencil beam kernel is one of the most important technologies. In this study, by analyzing the demerits of the clinical pencil beam dose calculation methods, a new pencil beam kernel model was developed based on the Monte Carlo (MC) simulation and the technology of medical accelerator energy spectrum reconstruction. which greatly improved the accuracy of calculated result. According to the axial symmetry principle, only part of simulation results was used for the data of pencil beam kernel, which greatly reduced the data quantity of the pencil beam and reduced calculated time. Based on the above studies, the MCFSPB method was designed and implemented by the Visual C++ development tool. With several tests including the comparisons among the American Association of Physicists in Medicine (AAPM) No. 55 Report sample and the ion chamber measurement of lung-simulating inhomogeneous phantom in clinical treatment plan, the results showed that the maximum error of most calculated point was less than 0.5% in the homogeneous phantom and less than 3% in the heterogeneous phantom. This method met the clinical criteria, and would be expected to be used as a fast and accurate dose engine for clinic TPS.

scholarly journals Commissioning of GPU–Accelerated Monte Carlo Code FRED for Clinical Applications in Proton Therapy

2021 ◽  
Vol 8 ◽  
Author(s):  
Jan Gajewski ◽  
Magdalena Garbacz ◽  
Chih-Wei Chang ◽  
Katarzyna Czerska ◽  
Marco Durante ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Quality Assurance ◽  
Treatment Planning ◽  
Propagation Model ◽  
Beam Model ◽  
Monte Carlo Code ◽  
Pencil Beam ◽  
Ionization Chambers ◽  
Passing Rate ◽  
Gamma Index

We present commissioning and validation of Fred, a graphical processing unit (GPU)–accelerated Monte Carlo code, for two proton beam therapy facilities of different beam line design: CCB (Krakow, IBA) and EMORY (Atlanta, Varian). We followed clinical acceptance tests required to approve the certified treatment planning system for clinical use. We implemented an automated and efficient procedure to build a parameter library characterizing the clinical proton pencil beam. Beam energy, energy spread, lateral propagation model, and a dosimetric calibration factor were parametrized based on measurements performed during the facility start-up. The Fred beam model was validated against commissioning and supplementary measurements performed with and without range shifter. We obtained 1) submillimeter agreement of Bragg peak shapes in water and lateral beam profiles in air and slab phantoms, 2) <2% dose agreement for spread out Bragg peaks of different ranges, 3) average gamma index (2%/2 mm) passing rate of >95% for >1000 patient verification measurements using a two-dimensional array of ionization chambers, and 4) gamma index passing rate of >99% for three-dimensional dose distributions computed with Fred and measured with an array of ionization chambers behind an anthropomorphic phantom. The results of example treatment planning study on >100 patients demonstrated that Fred simulations in computed tomography enable an accurate prediction of dose distribution in patient and application of Fred as second patient quality assurance tool. Computation of a patient treatment in a CT using 104 protons per pencil beam took on average 2′30 min with a tracking rate of 2.9×105p+/s. Fred was successfully commissioned and validated against the clinical beam model, showing that it could potentially be used in clinical routine. Thanks to high computational performance due to GPU acceleration and an automated beam model implementation method, the application of Fred is now possible for research or quality assurance purposes in most of the proton facilities.

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