SU-E-T-58: Specific Patient Exit Dose Verification Base on Treatment Planning System and Experimental Data

2012 ◽  
Vol 39 (6Part10) ◽  
pp. 3715-3716
Author(s):  
S Saboori ◽  
M Schmidt ◽  
R Mueller ◽  
M Mohammadi
Keyword(s):  
Experimental Data ◽  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Dose Verification ◽  
Specific Patient

scholarly journals In Vivo 3-D Dose Verification Using PET/CT Images After Carbon-Ion Radiation Therapy

2021 ◽  
Vol 11 ◽  
Author(s):  
Lining Sun ◽  
Weigang Hu ◽  
Songtao Lai ◽  
Leijun Shi ◽  
Junchao Chen
Keyword(s):  
Effective Dose ◽  
Treatment Planning ◽  
Carbon Ion Radiotherapy ◽  
Planning System ◽  
Treatment Planning System ◽  
Ct Image ◽  
Dose Verification ◽  
Carbon Ion ◽  
Pet Ct

ObjectiveTo investigate the usefulness of positron emission tomography (PET) images obtained after carbon-ion irradiation for dose verification in carbon-ion radiotherapy.Methods and MaterialsAn anthropomorphic head phantom was used in this study. Three cubes with volumes of 1, 4, and 10 ml were contoured as targets in the phantom CT through a treatment planning system. Treatment plans with six prescriptions from 2.5 to 10 Gy (2.5, 3, 5, 6, 8, and 10 Gy effective dose) were designed and delivered by 90° fixed carbon-ion beams, respectively. After irradiation of the phantom, a PET/CT scan was performed to fuse the treatment-planning CT image with the PET/CT image. The relationship between target volume and the standard uptake value (SUV) in PET/CT was evaluated for corresponding plan prescription. The MIM Maestro software was used for the image fusion and data analysis.ResultsSUV in the target had an approximate linear relationship with the effective dose. The same effective dose could generate a roughly equal SUV for different target volumes (p < 0.05).ConclusionsIt is feasible to verify the actual 3-D dose distribution of carbon-ion radiotherapy by the approach in this study.

scholarly journals EP-1787 Commissioning of the RayStation treatment planning system in a multi-vendor context

2019 ◽  
Vol 133 ◽  
pp. S967
Author(s):  
A. Savini ◽  
F. Rosica ◽  
V. D'Errico ◽  
T. Licciardello ◽  
E. Menghi ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System
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