TH-C-T-617-03: Implementation of Monte Carlo Dose Verification for Proton Therapy QA

2005 ◽  
Vol 32 (6Part21) ◽  
pp. 2164-2164
Author(s):  
J Fan ◽  
W Luo ◽  
J Li ◽  
E Fourkal ◽  
Z Chen ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Dose Verification

SU-E-T-512: Monte Carlo Dose Verification of Pencil Beam Scanning Proton Therapy

2013 ◽  
Vol 40 (6Part18) ◽  
pp. 323-323
Author(s):  
D Giantsoudi ◽  
B Clasie ◽  
C Grassberger ◽  
S Dowdell ◽  
N Depauw ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Pencil Beam ◽  
Dose Verification ◽  
Beam Scanning ◽  
Pencil Beam Scanning

PO-1417: A GPU Monte Carlo to support clinical routine in a compact spot scanning proton therapy system

2020 ◽  
Vol 152 ◽  
pp. S752-S753
Author(s):  
J. Gajewski ◽  
A. Schiavi ◽  
N. Krah ◽  
V. Patera ◽  
G. Vilches-Freixas ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Clinical Routine ◽  
Spot Scanning

scholarly journals An Integrated Framework Based on Full Monte Carlo Simulations for Double-Scattering Proton Therapy

2019 ◽  
Vol 6 (2) ◽  
pp. 31-41
Author(s):  
Jiankui Yuan ◽  
David Mansur ◽  
Min Yao ◽  
Tithi Biswas ◽  
Yiran Zheng ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Treatment Plan ◽  
Planning System ◽  
Treatment Planning System ◽  
Patient Specific ◽  
Double Scattering ◽  
Integrated Framework ◽  
End To End ◽  
Clinical Cases

ABSTRACT Purpose: We developed an integrated framework that employs a full Monte Carlo (MC) model for treatment-plan simulations of a passive double-scattering proton system. Materials and Methods: We have previously validated a virtual machine source model for full MC proton-dose calculations by comparing the percentage of depth-dose curves, spread-out Bragg peaks, and lateral profiles against measured commissioning data. This study further expanded our previous work by developing an integrate framework that facilitates its clinical use. Specifically, we have (1) constructed patient-specific applicator and compensator numerically from the plan data and incorporated them into the beamline, (2) created the patient anatomy from the computed tomography image and established the transformation between patient and machine coordinate systems, and (3) developed a graphical user interface to ease the whole process from importing the treatment plan in the Digital Imaging and Communications in Medicine format to parallelization of the MC calculations. End-to-end tests were performed to validate the functionality, and 3 clinical cases were used to demonstrate clinical utility of the framework. Results: The end-to-end tests demonstrated that the framework functioned correctly for all tested functionality. Comparisons between the treatment planning system calculations and MC results in 3 clinical cases revealed large dose difference up to 17%, especially in the beam penumbra and near the end of beam range. The discrepancy likely originates from a variety of sources, such as the dose algorithms, modeling of the beamline, and the dose metric. The agreement for other regions was acceptable. Conclusion: An integrated framework was developed for full MC simulations of double-scattering proton therapy. It can be a valuable tool for dose verification and plan evaluation.

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