AIMC Topic: Proton Therapy
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Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning.
Physics in medicine and biology
Oct 21, 2019
The purpose of this work is to validate the application of a deep learning-based method for pelvic synthetic CT (sCT) generation that can be used for prostate proton beam therapy treatment planning. We propose to integrate dense block minimization in...
Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton-induced positron emitters.
Medical physics
Oct 10, 2019
PURPOSE/OBJECTIVE(S): Online proton range/dose verification based on measurements of proton-induced positron emitters is a promising strategy for quality assurance in proton therapy. Because of the nonlinear correlation between the dose distribution ...
Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs).
Physics in medicine and biology
Sep 4, 2019
Online proton range/dose verification based on measurements of proton-induced positron emitters is a promising strategy for quality assurance in proton therapy. Because of the nonlinear correlation between the dose distribution and the activity distr...
Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.
Medical physics
Jul 12, 2019
PURPOSE: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning.
Future of Radiotherapy in Nasopharyngeal Carcinoma.
The British journal of radiology
Jul 9, 2019
Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as associated Epstein-Barr virus infection and high radiosensitivity. Radiotherapy has long been recognized as the mainstay for the treatment of NPC. However...
Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.
International journal of radiation oncology, biology, physics
Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Technology, Radiologic
Humans
Neural Networks, Computer
Skull
Brain Neoplasms
Glioblastoma
Proton Therapy
Magnetic Resonance Imaging
Radiotherapy, Image-Guided
Feasibility Studies
Head
Multimodal Imaging
Algorithms
Radiotherapy Planning, Computer-Assisted
Radiotherapy Dosage
Tomography, X-Ray Computed
Air
Reproducibility of Results
Unsupervised classification of tissues composition for Monte Carlo dose calculation.
Physics in medicine and biology
Jul 24, 2018
The purpose of this study is to investigate the potential of k-means clustering to efficiently reduce the variety of materials needed in Monte Carlo (MC) dose calculation. A numerical phantom with 31 human tissues surrounded by water is created. K-me...
A machine learning approach to the accurate prediction of monitor units for a compact proton machine.
Medical physics
Mar 23, 2018
PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor units (MUs) in passive scatter proton therapy due to the complexity of the beam delivery systems. Physical phantom measurements are commonly employed t...
A robotic C-arm cone beam CT system for image-guided proton therapy: design and performance.
The British journal of radiology
Oct 9, 2017
OBJECTIVE: A ceiling-mounted robotic C-arm cone beam CT (CBCT) system was developed for use with a 190° proton gantry system and a 6-degree-of-freedom robotic patient positioner. We report on the mechanical design, system accuracy, image quality, ima...
Improvement of deep learning-based dose conversion accuracy to a Monte Carlo algorithm in proton beam therapy for head and neck cancers.
Journal of radiation research
May 23, 2025
This study is aimed to clarify the effectiveness of the image-rotation technique and zooming augmentation to improve the accuracy of the deep learning (DL)-based dose conversion from pencil beam (PB) to Monte Carlo (MC) in proton beam therapy (PBT). ...
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