AIMC Topic: Proton Therapy

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Deep learning-based in vivo dose verification from proton-induced secondary-electron-bremsstrahlung images with various count level.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 9, 2022
PURPOSE: Proton-induced secondary-electron-bremsstrahlung (SEB) imaging is a promising method for estimating the ranges of particle beam. However, SEB images do not directly represent dose distributions of particle beams. In addition, the ranges esti...
Electrons Monte Carlo Method Proton Therapy Protons Deep Learning
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Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.

Physics in medicine and biology May 26, 2022
Proton therapy requires accurate dose calculation for treatment planning to ensure the conformal doses are precisely delivered to the targets. The conversion of CT numbers to material properties is a significant source of uncertainty for dose calcula...
Female Male Deep Learning Child, Preschool Humans Tomography, X-Ray Computed Phantoms, Imaging Proton Therapy Physics
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Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.

Medical physics May 11, 2022
BACKGROUND: Dose deposition characteristics of proton radiation can be advantageous over photons. Proton treatment planning, however, poses additional challenges for the planners. Proton therapy is usually delivered with only a small number of beam a...
Liver Humans Protons Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Pilot Projects Proton Therapy
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Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy.

Physics in medicine and biology May 9, 2022
Next generation online and real-time adaptive radiotherapy workflows require precise particle transport simulations in sub-second times, which is unfeasible with current analytical pencil beam algorithms (PBA) or Monte Carlo (MC) methods. We present ...
Radiotherapy Dosage Monte Carlo Method Phantoms, Imaging Algorithms Deep Learning Radiotherapy Planning, Computer-Assisted Humans Proton Therapy Protons
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Towards machine learning aided real-time range imaging in proton therapy.

Scientific reports Feb 17, 2022
Compton imaging represents a promising technique for range verification in proton therapy treatments. In this work, we report on the advantageous aspects of the i-TED detector for proton-range monitoring, based on the results of the first Monte Carlo...
Image Processing, Computer-Assisted Diagnostic Imaging Phantoms, Imaging Machine Learning Proton Therapy
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Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy for non-metastatic locally advanced pancreatic cancer: a single-center retrospective study.

Radiation oncology (London, England) Feb 10, 2022
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancreatic cancer (LAPC) remain unclear. This study aimed to determine the factors associated with long-te...
Gemcitabine Survival Rate Combined Modality Therapy Aged Male Proton Therapy Time Factors Humans Antimetabolites, Antineoplastic Aged, 80 and over Radiation-Sensitizing Agents Pancreatic Neoplasms Retrospective Studies Middle Aged Deoxycytidine Adult Neoplasm Staging Female
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Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

Medical physics Nov 16, 2021
PURPOSE: Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric imaging of diagnostic quality. Cone-beam CT (CBCT) can provide these daily images, but x-ray scattering limits CBCT-image quality and hampers dose calculation...
Radiotherapy Dosage Proton Therapy Humans Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Radiotherapy Planning, Computer-Assisted
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Learning-based synthetic dual energy CT imaging from single energy CT for stopping power ratio calculation in proton radiation therapy.

The British journal of radiology Oct 28, 2021
OBJECTIVE: Dual energy CT (DECT) has been shown to estimate stopping power ratio (SPR) map with a higher accuracy than conventional single energy CT (SECT) by obtaining the energy dependence of photon interactions. This work presents a learning-based...
Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Proton Therapy Retrospective Studies Tomography, X-Ray Computed Carcinoma, Squamous Cell Humans Machine Learning
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Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.

Physics in medicine and biology Mar 16, 2021
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been propos...
Humans Monte Carlo Method Tomography, X-Ray Computed Phantoms, Imaging Neural Networks, Computer Bayes Theorem Uncertainty Reproducibility of Results Deep Learning Proton Therapy Algorithms Head Protons Image Processing, Computer-Assisted Head and Neck Neoplasms Calibration
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Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients.

Physics in medicine and biology Dec 5, 2020
Cone-beam computed tomography (CBCT)- and magnetic resonance (MR)-images allow a daily observation of patient anatomy but are not directly suited for accurate proton dose calculations. This can be overcome by creating synthetic CTs (sCT) using deep c...
Radiotherapy Dosage Proton Therapy Aged Humans Magnetic Resonance Imaging Adult Neural Networks, Computer Male Cone-Beam Computed Tomography Organs at Risk Female Middle Aged Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Head and Neck Neoplasms
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