AIMC Topic: Proton Therapy

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Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy.

Medical physics Nov 13, 2023
BACKGROUND: Deep learning has shown promising results to generate MRI-based synthetic CTs and to enable accurate proton dose calculations on MRIs. For clinical implementation of synthetic CTs, quality assurance tools that verify their quality and rel...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Reproducibility of Results Proton Therapy Uncertainty Protons Feasibility Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy.

Medical physics Oct 13, 2023
BACKGROUND: Adaptive proton therapy workflows rely on accurate imaging throughout the treatment course. Our centre currently utilizes weekly repeat CTs (rCTs) for treatment monitoring and plan adaptations. However, deep learning-based methods have re...
Proton Therapy Xerostomia Deglutition Disorders Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Cone-Beam Computed Tomography Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy.

Medical physics Oct 6, 2023
BACKGROUND: Cone-beam computed tomography (CBCT) scanning is used for patient setup in image-guided radiotherapy. However, its inaccurate CT numbers limit its applicability in dose calculation and treatment planning.
Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Nasopharyngeal Neoplasms Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Proton Therapy Spiral Cone-Beam Computed Tomography
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Multimodal imaging-based material mass density estimation for proton therapy using supervised deep learning.

The British journal of radiology Oct 3, 2023
OBJECTIVE: Mapping CT number to material property dominates the proton range uncertainty. This work aims to develop a physics-constrained deep learning-based multimodal imaging (PDMI) framework to integrate physics, deep learning, MRI, and advanced d...
Protons Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Obesity Multimodal Imaging Humans Proton Therapy Retrospective Studies Tomography, X-Ray Computed
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Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy.

Medical physics Sep 25, 2023
BACKGROUND: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose predicti...
Protons Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Male Deep Learning Lung Neoplasms
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Deep learning proton beam range estimation model for quality assurance based on two-dimensional scintillated light distributions in simulations.

Medical physics Jul 30, 2023
BACKGROUND: Many studies have utilized optical camera systems with volumetric scintillators for quality assurances (QA) to estimate the proton beam range. However, previous analytically driven range estimation methods have the difficulty to derive th...
Proton Therapy Protons Water Computer Simulation Radiotherapy Dosage Deep Learning Monte Carlo Method
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Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).
Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Proton Therapy Retrospective Studies Protons
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Deep learning-based protoacoustic signal denoising for proton range verification.

Biomedical physics & engineering express May 12, 2023
Proton therapy is a type of radiation therapy that can provide better dose distribution compared to photon therapy by delivering most of the energy at the end of range, which is called the Bragg peak (BP). The protoacoustic technique was developed to...
Radiotherapy Dosage Proton Therapy Protons Deep Learning Radiotherapy Planning, Computer-Assisted
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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Oropharyngeal Neoplasms Radiotherapy, Intensity-Modulated Proton Therapy Radiotherapy Planning, Computer-Assisted Humans Deep Learning Probability Artificial Intelligence Patient Selection Radiotherapy Dosage Quality of Life Organs at Risk
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A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study.

Physics in medicine and biology Apr 26, 2023
. Robustness evaluation is critical in particle radiotherapy due to its susceptibility to uncertainties. However, the customary method for robustness evaluation only considers a few uncertainty scenarios, which are insufficient to provide a consisten...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Male Radiotherapy, Intensity-Modulated Proton Therapy Humans Deep Learning Feasibility Studies Artificial Intelligence
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