AIMC Topic: Radiotherapy Dosage

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A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration.

Physics in medicine and biology Jul 31, 2023
. This study aimed to develop a novel method for generating synthetic CT (sCT) from cone-beam CT (CBCT) of the abdomen/pelvis with bowel gas pockets to facilitate estimation of proton ranges.. CBCT, the same-day repeat CT, and the planning CT (pCT) o...
Deep Learning Child Cone-Beam Computed Tomography Humans Protons Spiral Cone-Beam Computed Tomography Carmustine Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Image Processing, Computer-Assisted
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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...
Deep Learning Water Radiotherapy Dosage Computer Simulation Protons Monte Carlo Method Proton Therapy
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Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis.

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) Jul 18, 2023
BACKGROUND: Synthetic computed tomography (sCT) has been proposed and increasingly clinically adopted to enable magnetic resonance imaging (MRI)-based radiotherapy. Deep learning (DL) has recently demonstrated the ability to generate accurate sCT fro...
Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Humans Brain
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Virtual pretreatment patient-specific quality assurance of volumetric modulated arc therapy using deep learning.

Medical physics Jun 28, 2023
BACKGROUND: Automatic patient-specific quality assurance (PSQA) is recently explored using artificial intelligence approaches, and several studies reported the development of machine learning models for predicting the gamma pass rate (GPR) index only...
Deep Learning Radiotherapy Planning, Computer-Assisted Machine Learning Radiotherapy, Intensity-Modulated Radiotherapy Dosage Humans Artificial Intelligence
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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).
Radiotherapy, Intensity-Modulated Proton Therapy Protons Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Retrospective Studies Deep Learning Humans
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Improvement of deep learning prediction model in patient-specific QA for VMAT with MLC leaf position map and patient's dose distribution.

Journal of applied clinical medical physics Jun 1, 2023
PURPOSE: Deep learning-based virtual patient-specific quality assurance (QA) is a novel technique that enables patient QA without measurement. However, this method could be improved by further evaluating the optimal data to be used as input. Therefor...
Prostate Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Prostatic Neoplasms Radiotherapy, Intensity-Modulated Humans Male
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Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.

Journal of applied clinical medical physics May 25, 2023
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Humans Cone-Beam Computed Tomography Male Prostatic Neoplasms
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Fastcalculation in LDR brachytherapy using deep learning methods.

Physics in medicine and biology May 23, 2023
The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However, long computation times limit the clinical implementation of MC-based treatment planning solutions. ...
Male Deep Learning Prostheses and Implants Radiotherapy Planning, Computer-Assisted Prostate Humans Monte Carlo Method Brachytherapy Radiotherapy Dosage
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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...
Proton Therapy Protons Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 6, 2023
BACKGROUND AND PURPOSE: Magnetic Resonance (MR)-only radiotherapy enables the use of MR without the uncertainty of MR-Computed Tomography (CT) registration. This requires a synthetic CT (sCT) for dose calculations, which can be facilitated by a novel...
Magnetic Resonance Imaging Algorithms Prostatic Neoplasms Tomography, X-Ray Computed Pelvis Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Humans Male Magnetic Resonance Spectroscopy Radiotherapy Dosage Deep Learning
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