399 citations · 650 across the 16 of their papers we have counts for
16 papers
One-step Iterative Estimation of Effective Atomic Number and Electron Density for Dual Energy CT
Qian Wang, Huiqiao Xie, Tonghe Wang +7
Dual-energy computed tomography (DECT) is a promising technology that has shown a number of clinical advantages over conventional X-ray CT, such as improved material identification…
A Retrospective Study on the Investigation of Potential Clinical Benefits of Online Adaptive Proton Therapy for Head and Neck Cancer
Chih-Wei Chang, Duncan Bohannon, Zhen Tian +6
Online adaptive proton therapy (APT) is an ideal solution theoretically, which however is challenging to proton clinics. Although multiple groups have been endeavoring to develop o…
Automatic Inverse Treatment Planning for Gamma Knife Radiosurgery via Deep Reinforcement Learning
Yingzi Liu, Chenyang Shen, Tonghe Wang +6
Purpose: Several inverse planning algorithms have been developed for Gamma Knife (GK) radiosurgery to determine a large number of plan parameters via solving an optimization proble…
An institutional study on plan quality and variation of manual forward planning for Gamma Knife radiosurgery for vestibular schwannoma
Zhen Tian, Tonghe Wang, Xiaofeng Yang +5
Due to the complexity and cumbersomeness of Gamma Knife (GK) manual forward planning, the quality of the resulting treatment plans heavily depends on the planners skill, experience…
A plan quality control method of treatment planning for Gamma Knife radiosurgery
Tonghe Wang, Matt D. Giles, Elizabeth Butker +5
With many variables to adjust, conventional manual forward planning for Gamma Knife (GK) radiosurgery is very complicated and cumbersome. The resulting plan quality heavily depends…
Deep learning-based Real-time Volumetric Imaging for Lung Stereotactic Body Radiation Therapy: A Proof of Concept Study
Yang Lei, Zhen Tian, Tonghe Wang +5
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body ra…
A preliminary study on a multi-resolution-level inverse planning algorithm for Gamma Knife radiosurgery
Zhen Tian, Xiaofeng Yang, Matt Giles +5
Manual forward planning for GK radiosurgery is complicated and time-consuming, particularly for cases with large or irregularly shaped targets. Inverse planning eases GK planning b…
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…
The fixed-point iteration method for IMRT optimization with truncated dose deposition coefficient matrix
Zhen Tian, Masoud Zarepisheh, Xun Jia +1
In the treatment plan optimization for intensity modulated radiation therapy (IMRT), dose-deposition coefficient (DDC) matrix is often pre-computed to parameterize the dose contrib…
GPU-based Monte Carlo radiotherapy dose calculation using phase-space sources
Reid Townson, Xun Jia, Zhen Tian +3
A novel phase-space source implementation has been designed for GPU-based Monte Carlo dose calculation engines. Due to the parallelized nature of GPU hardware, it is essential to s…
Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method
Xun Jia, Zhen Tian, Yifei Lou +2
Four-dimensional Cone Beam Computed Tomography (4D-CBCT) has been developed to provide respiratory phase resolved volumetric imaging in image guided radiation therapy (IGRT). Inade…
GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization
Zhen Tian, Xun Jia, Kehong Yuan +2
High radiation dose in CT scans increases a lifetime risk of cancer and has become a major clinical concern. Recently, iterative reconstruction algorithms with Total Variation (TV)…
GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means
Zhen Tian, Xun Jia, Steve B. Jiang
Four-dimensional computed tomography (4DCT) has been widely used in cancer radiotherapy for accurate target delineation and motion measurement for tumors in thorax and upper abdome…