Browsing by Author "Sheng, Yang"
Now showing items 1-11 of 11
-
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 ... -
An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning.
(Frontiers in oncology, 2018-01)Knowledge-based planning (KBP) utilizes experienced planners' knowledge embedded in prior plans to estimate optimal achievable dose volume histogram (DVH) of new cases. In the regression-based KBP framework, previously planned ... -
Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models.
(Frontiers in Oncology, 2019-01)Purpose: To develop an automatic treatment planning system for whole breast radiation therapy (WBRT) based on two intensity-modulated tangential fields, enabling near-real-time planning. Methods and Materials: A total of ... -
Clinical Experience With Machine Learning-Based Automated Treatment Planning for Whole Breast Radiation Therapy.
(Advances in radiation oncology, 2021-03)<h4>Purpose</h4>The machine learning-based automated treatment planning (MLAP) tool has been developed and evaluated for breast radiation therapy planning at our institution. We implemented MLAP for patient treatment and ... -
Dose-Guided Automatic IMRT Planning: A Feasibility Study
(2014)Purpose: To develop and evaluate an automatic IMRT planning technique for prostate cancer utilizing prior expert plan's dose distribution as guidance.Methods and Materials: In this study, the anatomical information of prostate ... -
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 ... -
Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy.
(Technology in cancer research & treatment, 2019-01)PURPOSE:To develop an automated optimization program to generate optimal beam settings for whole-breast radiation therapy driven by clinically oriented goals. MATERIALS AND METHODS:Forty patients were retrospectively included ... -
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 Discovery in Databases of Radiation Therapy Treatment Planning
(2017)Radiation has been utilized in medical domain for multiple purposes. Treating cancer using radiation has increasing popularity during the last century. Radiation beam is directed to the tumor cells while the surrounding ... -
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 ...
