399 citations · 2.2k across the 32 of their papers we have counts for
32 papers
Joint k-TE Space Image Reconstruction and Data Fitting for T2 Mapping
Yan Dai, Xun Jia, Yen-Peng Liao +2
Objectives: To develop a joint k-TE reconstruction algorithm to reconstruct the T2-weighted (T2W) images and T2 map simultaneously. Materials and Methods: The joint k-TE reconstruc…
Improving Efficiency of Training a Virtual Treatment Planner Network via Knowledge-guided Deep Reinforcement Learning for Intelligent Automatic Treatment Planning of Radiotherapy
Chenyang Shen, Liyuan Chen, Yesenia Gonzalez +1
We previously proposed an intelligent automatic treatment planning framework for radiotherapy, in which a virtual treatment planner network (VTPN) was built using deep reinforcemen…
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
Dan Nguyen, Troy Long, Xun Jia +4
With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning t…
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 method for real-time volumetric imaging in radiotherapy using single x-ray projection
Yuan Xu, Hao Yan, Luo Ouyang +5
In this paper, we present a new method to generate an instantaneous volumetric image using a single x-ray projection. To fully extract motion information hidden in projection image…
Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations
Davide Montanari, Enrica Scolari, Chiara Silvestri +6
Cone beam CT (CBCT) has been widely used for patient setup in image guided radiation therapy (IGRT). Radiation dose from CBCT scans has become a clinical concern. The purposes of t…
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…
A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy
Xuejun Gu, Bin Dong, Jing Wang +4
In adaptive radiotherapy, deformable image registration is often conducted between the planning CT and treatment CT (or cone beam CT) to generate a deformation vector field (DVF) f…
Extracting respiratory signals from thoracic cone beam CT projections
Hao Yan, Xiaoyu Wang, Wotao Yin +6
Patient respiratory signal associated with the cone beam CT (CBCT) projections is important for lung cancer radiotherapy. In contrast to monitoring an external surrogate of respira…
Effect of Statistical Fluctuation in Monte Carlo Based Photon Beam Dose Calculation on Gamma Index Evaluation
Yan Jiang Graves, Xun Jia, Steve B. Jiang
The gamma-index test has been commonly adopted to quantify the degree of agreement between a reference dose distribution and an evaluation dose distribution. Monte Carlo (MC) simul…
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…
CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction
Xin Zhen, Xuejun Gu, Hao Yan +3
Computed tomography (CT) to cone-beam computed tomography (CBCT) deformable image registration (DIR) is a crucial step in adaptive radiation therapy. Current intensity-based regist…
Optimal Surface Marker Locations for Tumor Motion Estimation in Lung Cancer Radiotherapy
Bin Dong, Yan Jiang Graves, Xun Jia +1
Using fiducial markers on patient's body surface to predict the tumor location is a widely used approach in lung cancer radiotherapy. The purpose of this work is to propose an algo…
A comprehensive study on the relationship between image quality and imaging dose in low-dose cone beam CT
Hao Yan, Laura Cervino, Xun Jia +1
While compressed sensing (CS) based reconstructions have been developed for low-dose CBCT, a clear understanding on the relationship between the image quality and imaging dose at l…
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…
Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation
Xun Jia, Hao Yan, Xuejun Gu +1
Recently, X-ray imaging dose from computed tomography (CT) or cone beam CT (CBCT) scans has become a serious concern. Patient-specific imaging dose calculation has been proposed fo…
GPU-based fast Monte Carlo simulation for radiotherapy dose calculation
Xun Jia, Xuejun Gu, Yan Jiang Graves +2
Monte Carlo (MC) simulation is commonly considered to be the most accurate dose calculation method in radiotherapy. However, its efficiency still requires improvement for many rout…
A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation
Xuejun Gu, Urszula Jelen, Jinsheng Li +2
Targeting at the development of an accurate and efficient dose calculation engine for online adaptive radiotherapy, we have implemented a finite size pencil beam (FSPB) algorithm w…
3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy
Ruijiang Li, John H. Lewis, Xun Jia +5
Recently we have developed an algorithm for reconstructing volumetric images and extracting 3D tumor motion information from a single x-ray projection. We have demonstrated its fea…
Beam Orientation Optimization for Intensity Modulated Radiation Therapy using Adaptive l1 Minimization
Xun Jia, Chunhua Men, Yifei Lou +1
Beam orientation optimization (BOO) is a key component in the process of IMRT treatment planning. It determines to what degree one can achieve a good treatment plan quality in the…
GPU-based fast gamma index calcuation
Xuejun Gu, Xun Jia, Steve B. Jiang
The gamma-index dose comparison tool has been widely used to compare dose distributions in cancer radiotherapy. The accurate calculation of gamma-index requires an exhaustive searc…
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…