Voxel dosimetry: Comparison of MCNPX and DOSXYZnrc Monte Carlo codes in patient specific phantom calculations

2017 ◽  
Vol 25 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Kamal Hadad ◽  
Mahdi Saeedi-Moghadam ◽  
Banafsheh Zeinali-Rafsanjani
Keyword(s):  
Monte Carlo ◽  
Patient Specific ◽  
Voxel Dosimetry

scholarly journals In Silico Validation of MCID Platform for Monte Carlo-Based Voxel Dosimetry Applied to 90Y-Radioembolization of Liver Malignancies

2021 ◽  
Vol 11 (4) ◽  
pp. 1939
Author(s):  
Alessia Milano ◽  
Alex Vergara Gil ◽  
Enrico Fabrizi ◽  
Marta Cremonesi ◽  
Ivan Veronese ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Liver Tumors ◽  
Absorbed Dose ◽  
Patient Specific ◽  
Liver Malignancies ◽  
Functional Images ◽  
Geant4 Code ◽  
Voxel Dosimetry ◽  
90Y Radioembolization ◽  
Real Patients

The aim was the validation of a platform for internal dosimetry, named MCID, based on patient-specific images and direct Monte Carlo (MC) simulations, for radioembolization of liver tumors with 90Y-labeled microspheres. CT of real patients were used to create voxelized phantoms with different density and activity maps. SPECT acquisitions were simulated by the SIMIND MC code. Input macros for the GATE/Geant4 code were generated by MCID, loading coregistered morphological and functional images and performing image segmentation. The dosimetric results obtained from the direct MC simulations and from conventional MIRD approach at both organ and voxel level, in condition of homogeneous tissues, were compared, obtaining differences of about 0.3% and within 3%, respectively, whereas differences increased (up to 14%) introducing tissue heterogeneities in phantoms. Mean absorbed dose for spherical regions of different sizes (10 mm ≤ r ≤ 30 mm) from MC code and from OLINDA/EXM were also compared obtaining differences varying in the range 7–69%, which decreased to 2–9% after correcting for partial volume effects (PVEs) from imaging, confirming that differences were mostly due to PVEs, even though a still high difference for the smallest sphere suggested possible source description mismatching. This study validated the MCID platform, which allows the fast implementation of a patient-specific GATE simulation, avoiding complex and time-consuming manual coding. It also points out the relevance of personalized dosimetry, accounting for inhomogeneities, in order to avoid absorbed dose misestimations.

PO-1862: Patient-specific SRS QA using the PRIMO Monte Carlo software

2020 ◽  
Vol 152 ◽  
pp. S1038-S1039
Author(s):  
J.F. Calvo Ortega ◽  
M. Hermida-López- ◽  
S. Moragues-Femenía ◽  
C. Laosa-Bello ◽  
J. Casals-Farran
Keyword(s):  
Monte Carlo ◽  
Patient Specific

PATIENT-SPECIFIC DOSIMETRY FOR PEDIATRIC IMAGING OF 99mTc-DIMERCAPTOSUCCINIC ACID WITH GATE MONTE CARLO CODE

2017 ◽  
Vol 178 (2) ◽  
pp. 213-222 ◽  
Author(s):  
Mahmoud Bagheri ◽  
Ali Asghar Parach ◽  
Seid Kazem Razavi-Ratki ◽  
Reza Nafisi-Moghadam ◽  
Mohammad Ali Jelodari
Keyword(s):  
Monte Carlo ◽  
Dimercaptosuccinic Acid ◽  
Patient Specific ◽  
Monte Carlo Code ◽  
Pediatric Imaging

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.

SU-E-T-256: Optimizing the Combination of Targeted Radionuclide Therapy Agents Using a Multi-Scale Patient-Specific Monte Carlo Dosimetry Platform

2014 ◽  
Vol 41 (6Part15) ◽  
pp. 282-282
Author(s):  
A Besemer ◽  
B Titz ◽  
J Grudzinski ◽  
J Weichert ◽  
L Hall ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Radionuclide Therapy ◽  
Patient Specific ◽  
Targeted Radionuclide Therapy ◽  
Multi Scale
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