186 citations · 566 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
An OpenCL-based Monte Carlo dose calculation engine (oclMC) for coupled photon-electron transport
Zhen Tian, Feng Shi, Michael Folkerts +3
Monte Carlo (MC) method has been recognized the most accurate dose calculation method for radiotherapy. However, its extremely long computation time impedes clinical applications.…
Multi-GPU implementation of a VMAT treatment plan optimization algorithm
Zhen Tian, Fei Peng, Michael Folkerts +3
VMAT optimization is a computationally challenging problem due to its large data size, high degrees of freedom, and many hardware constraints. High-performance graphics processing…
A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections
Xun Jia, Hao Yan, Laura Cervino +2
Simulation of x-ray projection images plays an important role in cone beam CT (CBCT) related research projects. A projection image contains primary signal, scatter signal, and nois…