most citedAn Analytic Linear Accelerator Source Model for Monte Carlo dose calculations. II. Model Utilization in a GPU-based Monte Carlo Package and Automatic Source Commissioning

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physics.med-ph2021

A Feasibility Study on Deep Learning Based Individualized 3D Dose Distribution Prediction

Jianhui Ma, Dan Nguyen, Ti Bai +5

Purpose: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An optimal dose distribution based on a specific anatomy can be predicted by pre-t…

physics.med-ph2015★ 1 cited

An Analytic Linear Accelerator Source Model for Monte Carlo dose calculations. II. Model Utilization in a GPU-based Monte Carlo Package and Automatic Source Commissioning

Zhen Tian, Michael Folkerts, Yongbao Li +3

We recently built an analytical source model for GPU-based MC dose engine. In this paper, we present a sampling strategy to efficiently utilize this source model in GPU-based dose…

physics.med-ph2015

An Analytic Linear Accelerator Source Model for Monte Carlo Dose Calculations. I. Model Representation and Construction

Zhen Tian, Yongbao Li, Michael Folkerts +3

Monte Carlo (MC) simulation is considered as the most accurate method for radiation dose calculations. Accuracy of a source model for a linear accelerator is critical for the overa…