AIMC Topic: Proton Therapy

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A feasibility study of enhanced prompt gamma imaging for range verification in proton therapy using deep learning.

Physics in medicine and biology Mar 20, 2023
. Range uncertainty is a major concern affecting the delivery precision in proton therapy. The Compton camera (CC)-based prompt-gamma (PG) imaging is a promising technique to provide 3Drange verification. However, the conventional back-projected PG i...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Feasibility Studies Deep Learning Proton Therapy Gamma Rays Protons Monte Carlo Method Phantoms, Imaging
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SWFT-Net: a deep learning framework for efficient fine-tuning spot weights towards adaptive proton therapy.

Physics in medicine and biology Dec 9, 2022
. One critical task for adaptive proton therapy is how to perform spot weight re-tuning and reoptimize plan, both of which are time-consuming and labor intensive. We proposed a deep learning framework (SWFT-Net) to speed up such a task, a starting po...
Proton Therapy Algorithms Deep Learning Humans Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated
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3Ddose verification in prostate proton therapy with deep learning-based proton-acoustic imaging.

Physics in medicine and biology Oct 27, 2022
Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment precision and outcome. Recently, a promising technique, proton-acoustic (PA) imaging, has been developed to provide real-time3D dose verification. Howev...
Proton Therapy Protons Acoustics Phantoms, Imaging Deep Learning Prostate Humans Male
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Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy.

Physics in medicine and biology Oct 19, 2022
. Computed tomography (CT) to material property conversion dominates proton range uncertainty, impacting the quality of proton treatment planning. Physics-based and machine learning-based methods have been investigated to leverage dual-energy CT (DEC...
Animals Water Radiotherapy Planning, Computer-Assisted Monte Carlo Method Swine Deep Learning Protons Phantoms, Imaging Proton Therapy
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A plan verification platform for online adaptive proton therapy using deep learning-based Monte-Carlo denoising.

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) Oct 3, 2022
BACKGROUND PURPOSE: This study focused on developing a fast Monte Carlo (MC) plan verification platform via a deep learning (DL)-based denoising approach. It can maintain the MC dose calculation accuracy while significantly reducing the computation t...
Monte Carlo Method Proton Therapy Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Algorithms Deep Learning Humans
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Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 24, 2022
BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication prob...
Radiotherapy Planning, Computer-Assisted Probability Radiotherapy, Intensity-Modulated Proton Therapy Radiotherapy Dosage Decision Support Systems, Clinical Esophageal Neoplasms Humans Deep Learning
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Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach.

Physics in medicine and biology Sep 15, 2022
. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary particle detectors. In this work, we investigate the utility of deep learning me...
Phantoms, Imaging Proton Therapy Humans Electrons Positron-Emission Tomography Protons Deep Learning Monte Carlo Method
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Deep learning-based 4D-synthetic CTs from sparse-view CBCTs for dose calculations in adaptive proton therapy.

Medical physics Aug 27, 2022
BACKGROUND: Time-resolved 4D cone beam-computed tomography (4D-CBCT) allows a daily assessment of patient anatomy and respiratory motion. However, 4D-CBCTs suffer from imaging artifacts that affect the CT number accuracy and prevent accurate proton d...
Heart Proton Therapy Protons Humans Deep Learning
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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...
Monte Carlo Method Proton Therapy Protons Deep Learning Electrons
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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...
Deep Learning Female Humans Child, Preschool Male Tomography, X-Ray Computed Phantoms, Imaging Proton Therapy Physics
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