Browsing by Author "Wang, Chunhao"
Now showing items 1-11 of 11
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A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.
Li, Xinyi; Wu, Jackie; Palta, Manisha; Zhang, You; Sheng, Yang; Zhang, Jiahan; Wang, Chunhao (Technology in cancer research & treatment, 2019-01)PURPOSE:To optimize collimator setting to improve dosimetric quality of pancreas volumetric modulated arc therapy plan for stereotactic body radiation therapy. MATERIALS AND METHODS:Fifty-five volumetric modulated arc therapy ... -
A robust deformable image registration enhancement method based on radial basis function.
Liang, Xiao; Yin, Fang-Fang; Wang, Chunhao; Cai, Jing (Quantitative imaging in medicine and surgery, 2019-07)Background:To develop and evaluate a robust deformable image registration (DIR) enhancement method based on radial basis function (RBF) expansion. Methods:To improve DIR accuracy using sparsely available measured displacements, ... -
An investigation of machine learning methods in delta-radiomics feature analysis.
Chang, Yushi; Lafata, Kyle; Sun, Wenzheng; Wang, Chunhao; Chang, Zheng; Kirkpatrick, John P; Yin, Fang-Fang (PloS one, 2019-01)PURPOSE:This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, ... -
Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application
Wang, Chunhao; Liu, Chenyang; Chang, Yushi; Lafata, Kyle; Cui, Yunfeng; Zhang, Jiahan; Sheng, Yang; ... (10 authors) -
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.
Wang, Wentao; Sheng, Yang; Wang, Chunhao; Zhang, Jiahan; Li, Xinyi; Palta, Manisha; Czito, Brian; ... (12 authors) (Frontiers in artificial intelligence, 2020-01)Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans ... -
Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study.
Sheng, Yang; Zhang, Jiahan; Wang, Chunhao; Yin, Fang-Fang; Wu, Q Jackie; Ge, Yaorong (Technology in cancer research & treatment, 2019-01)Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose ... -
Knowledge-Based Statistical Inference Method for Plan Quality Quantification.
Zhang, Jiang; Wu, Q Jackie; Ge, Yaorong; Wang, Chunhao; Sheng, Yang; Palta, Jatinder; Salama, Joseph K; ... (9 authors) (Technology in cancer research & treatment, 2019-01)AIM:The aim of the study is to develop a geometrically adaptive and statistically robust plan quality inference method. METHODS AND MATERIALS:We propose a knowledge-based plan quality inference method that references to ... -
Radiotherapy Treatment Assessment using DCE-MRI
Wang, Chunhao (2016)AbstractThe goal of modern radiotherapy is to precisely deliver a prescribed radiation dose to delineated target volumes that contain a significant amount of tumor cells while sparing the surrounding healthy tissues/organs. ... -
Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?
Zheng, Dandan; Hong, Julian C; Wang, Chunhao; Zhu, Xiaofeng (Technology in cancer research & treatment, 2019-01) -
Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.
Lafata, Kyle; Cai, Jing; Wang, Chunhao; Hong, Julian; Kelsey, Chris R; Yin, Fang-Fang (Physics in medicine and biology, 2018-11-08)The purpose of this research was to study the sensitivity of Computed Tomography (CT) radiomic features to motion blurring and signal-to-noise ratios (SNR), and investigate its downstream effect regarding the classification ... -
Spine SBRT With Halcyon™: Plan Quality, Modulation Complexity, Delivery Accuracy, and Speed.
Petroccia, Heather M; Malajovich, Irina; Barsky, Andrew R; Ghiam, Alireza Fotouhi; Jones, Joshua; Wang, Chunhao; Zou, Wei; ... (11 authors) (Frontiers in Oncology, 2019-01)Purpose: Spine SBRT requires treatment plans with steep dose gradients and tight limits to the cord maximal dose. A new dual-layer staggered 1-cm MLC in Halcyon™ treatment platform has improved leakage, speed, and DLG compared ...