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.
(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.
(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.
(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, ... -
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.
(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.
(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.
(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
(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?
(Technology in cancer research & treatment, 2019-01) -
Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.
(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.
(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 ...
