SU-GG-T-423: Tissue Composition Effect in Proton Dose Calculation Based on Human Antomical Model

2010 ◽  
Vol 37 (6Part22) ◽  
pp. 3283-3283
Author(s):  
Y Liu ◽  
Y Zheng
Keyword(s):  
Dose Calculation ◽  
Tissue Composition ◽  
Composition Effect ◽  
Proton Dose

scholarly journals Tissue composition effect on dose distribution in radiotherapy with a 6 MV photon beam of a medical linac

2018 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AtefehVejdani Noghreiyan ◽  
Mahdi Ghorbani ◽  
ZahraSadat Tabatabaei ◽  
Delaram Pakravan ◽  
David Davenport
Keyword(s):  
Dose Distribution ◽  
Photon Beam ◽  
Tissue Composition ◽  
Composition Effect ◽  
Medical Linac

SU-FF-T-411: Boundary Study of Bragg Peak Shift and Bragg Peak Degradation in Proton Dose Calculation

2009 ◽  
Vol 36 (6Part15) ◽  
pp. 2616-2616 ◽  
Author(s):  
W Chen ◽  
Y Liu ◽  
B Guo ◽  
D Jette ◽  
N Papanikolaou
Keyword(s):  
Bragg Peak ◽  
Dose Calculation ◽  
Peak Shift ◽  
Proton Dose

CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation

2019 ◽  
Vol 64 (22) ◽  
pp. 225004 ◽  
Author(s):  
Christopher Kurz ◽  
Matteo Maspero ◽  
Mark H F Savenije ◽  
Guillaume Landry ◽  
Florian Kamp ◽  
...  
Keyword(s):  
Dose Calculation ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Proton Dose

scholarly journals Application of a fast proton dose calculation algorithm to a thorax geometry

2010 ◽  
Vol 45 (10) ◽  
pp. 1367-1368 ◽  
Author(s):  
Pablo P. Yepes ◽  
Travis Brannan ◽  
Jessie Huang ◽  
Dragan Mirkovic ◽  
Wayne D. Newhauser ◽  
...  
Keyword(s):  
Dose Calculation ◽  
Fast Proton ◽  
Calculation Algorithm ◽  
Dose Calculation Algorithm ◽  
Proton Dose

Feasibility of CBCT-based proton dose calculation using a histogram-matching algorithm in proton beam therapy

2017 ◽  
Vol 33 ◽  
pp. 68-76 ◽  
Author(s):  
Kazuhiro Arai ◽  
Noriyuki Kadoya ◽  
Takahiro Kato ◽  
Hiromitsu Endo ◽  
Shinya Komori ◽  
...  
Keyword(s):  
Proton Beam ◽  
Dose Calculation ◽  
Proton Beam Therapy ◽  
Matching Algorithm ◽  
Histogram Matching ◽  
Proton Dose

scholarly journals Initial Validation of Proton Dose Calculations on SPR Images from DECT in Treatment Planning System

2020 ◽  
Vol 7 (2) ◽  
pp. 51-61
Author(s):  
Sina Mossahebi ◽  
Pouya Sabouri ◽  
Haijian Chen ◽  
Michelle Mundis ◽  
Matthew O'Neil ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Treatment Planning ◽  
Effective Atomic Number ◽  
Dose Calculation ◽  
Target Volume ◽  
Planning System ◽  
Treatment Planning System ◽  
Relative Electron ◽  
Treatment Plans ◽  
Proton Dose

Abstract Purpose To investigate and quantify the potential benefits associated with the use of stopping-power-ratio (SPR) images created from dual-energy computed tomography (DECT) images for proton dose calculation in a clinical proton treatment planning system (TPS). Materials and Methods The DECT and single-energy computed tomography (SECT) scans obtained for 26 plastic tissue surrogate plugs were placed individually in a tissue-equivalent plastic phantom. Relative-electron density (ρe) and effective atomic number (Zeff) images were reconstructed from the DECT scans and used to create an SPR image set for each plug. Next, the SPR for each plug was measured in a clinical proton beam for comparison of the calculated values in the SPR images. The SPR images and SECTs were then imported into a clinical TPS, and treatment plans were developed consisting of a single field delivering a 10 × 10 × 10-cm3 spread-out Bragg peak to a clinical target volume that contained the plugs. To verify the accuracy of the TPS dose calculated from the SPR images and SECTs, treatment plans were delivered to the phantom containing each plug, and comparisons of point-dose measurements and 2-dimensional γ-analysis were performed. Results For all 26 plugs considered in this study, SPR values for each plug from the SPR images were within 2% agreement with measurements. Additionally, treatment plans developed with the SPR images agreed with the measured point dose to within 2%, whereas a 3% agreement was observed for SECT-based plans. γ-Index pass rates were > 90% for all SECT plans and > 97% for all SPR image–based plans. Conclusion Treatment plans created in a TPS with SPR images obtained from DECT scans are accurate to within guidelines set for validation of clinical treatment plans at our center. The calculated doses from the SPR image–based treatment plans showed better agreement to measured doses than identical plans created with standard SECT scans.

SU-FF-T-221: Evaluation of Titanium Metal Imaging Artifacts On Proton Dose Calculation

2007 ◽  
Vol 34 (6Part10) ◽  
pp. 2452-2452
Author(s):  
R Wu ◽  
X Zhang ◽  
R Amos ◽  
K Prado ◽  
M Lii ◽  
...  
Keyword(s):  
Dose Calculation ◽  
Titanium Metal ◽  
Imaging Artifacts ◽  
Proton Dose
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