Poster - Thur Eve - 55: Monte Carlo simulations of variations in planned dose distributions in a prostate patient population

2012 ◽  
Vol 39 (7Part3) ◽  
pp. 4635-4635
Author(s):  
MJ Balderson ◽  
DW Brown ◽  
S Quirk ◽  
E Ghasroddashti ◽  
C Kirkby
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Patient Population ◽  
Dose Distributions

A new DOSXYZnrc method for Monte Carlo simulations of 4D dose distributions

2021 ◽  
Author(s):  
Shiqin Su ◽  
Parmveer Atwal ◽  
Julio Lobo ◽  
Cheryl Duzenli ◽  
I Antoniu Popescu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Dose Rate ◽  
Dose Distributions ◽  
Time Resolved ◽  
Dose Accumulation ◽  
Novel Method ◽  
Beam Delivery ◽  
Total Body ◽  
Code Version

Abstract The purpose of this study is to present a novel method for generating Monte Carlo 4D dose distributions in a single DOSXYZnrc simulation. During a standard simulation, individual energy deposition events are summed up to generate a 3D dose distribution and their associated temporal information is discarded. This means that in order to determine dose distributions as a function of time, separate simulations would have to be run for each interval of interest. Consequently, it has not been clinically feasible until now to routinely perform Monte Carlo simulations of dose rate, time-resolved dose accumulation, or EPID cine-mode images for VMAT plans. To overcome this limitation, we modified DOSXYZnrc and defined new input and output variables that allow a time-like parameter associated with each particle history to be binned in a user-defined manner. Under the new code version, computation times are the same as for a standard simulation, and the time-integrated 4D dose is identical to the standard 3D dose. We present a comparison of scintillator measurements and Monte Carlo simulations for dose rate during a VMAT beam delivery, a study of dose rate in a VMAT Total Body Irradiation plan, and simulations of transit (through-patient) EPID cine-mode images.

Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising

2002 ◽  
Vol 29 (10) ◽  
pp. 2366-2373 ◽  
Author(s):  
Joseph O. Deasy ◽  
M. Victor Wickerhauser ◽  
Mathieu Picard
Keyword(s):  
Monte Carlo ◽  
Radiation Therapy ◽  
Monte Carlo Simulations ◽  
Dose Distributions
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