AIMC Topic: Radiotherapy Dosage

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Deep learning-enabled EPID-based 3D dosimetry for dose verification of step-and-shoot radiotherapy.

Medical physics Sep 24, 2021
PURPOSE: The study aims at a novel dosimetry methodology to reconstruct a 3D dose distribution as imparted to a virtual cylindrical phantom using an electronic portal imaging device (EPID).
Humans Phantoms, Imaging Radiometry Algorithms Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Catheter position prediction using deep-learning-based multi-atlas registration for high-dose rate prostate brachytherapy.

Medical physics Sep 18, 2021
PURPOSE: High-dose-rate (HDR) prostate brachytherapy involves treatment catheter placement, which is currently empirical and physician dependent. The lack of proper catheter placement guidance during the procedure has left the physicians to rely on a...
Retrospective Studies Brachytherapy Male Deep Learning Humans Radiotherapy Dosage Prostatic Neoplasms Catheters Prostate Radiotherapy Planning, Computer-Assisted
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review.

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) Aug 30, 2021
PURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the electron density of tissue necessary for dose calculation. Sever...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Magnetic Resonance Imaging Multicenter Studies as Topic Tomography, X-Ray Computed
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Deep learning method for prediction of patient-specific dose distribution in breast cancer.

Radiation oncology (London, England) Aug 17, 2021
BACKGROUND: Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Female Breast Neoplasms Middle Aged Deep Learning Organs at Risk
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Managing tumor changes during radiotherapy using a deep learning model.

Medical physics Aug 11, 2021
PURPOSE: We propose a treatment planning framework that accounts for weekly lung tumor shrinkage using cone beam computed tomography (CBCT) images with a deep learning-based model.
Male Deep Learning Cone-Beam Computed Tomography Humans Lung Neoplasms Radiotherapy Planning, Computer-Assisted Carcinoma, Non-Small-Cell Lung Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Personalized brachytherapy dose reconstruction using deep learning.

Computers in biology and medicine Aug 8, 2021
BACKGROUND AND PURPOSE: Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications ...
Humans Deep Learning Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Monte Carlo Method
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Applications of machine and deep learning to patient-specific IMRT/VMAT quality assurance.

Journal of applied clinical medical physics Aug 3, 2021
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanced techniques such as intensity modulated radiation therapy (IMRT) and volumetric-arc radiation therapy (VMAT), patient specific quality assurance (QA...
Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage Humans Machine Learning Deep Learning Radiotherapy, Intensity-Modulated Phantoms, Imaging
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Development of in-house fully residual deep convolutional neural network-based segmentation software for the male pelvic CT.

Radiation oncology (London, England) Jul 22, 2021
BACKGROUND: This study aimed to (1) develop a fully residual deep convolutional neural network (CNN)-based segmentation software for computed tomography image segmentation of the male pelvic region and (2) demonstrate its efficiency in the male pelvi...
Radiotherapy, Intensity-Modulated Urinary Bladder Seminal Vesicles Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Prostatic Neoplasms Humans Prognosis Pelvis Neural Networks, Computer Male Organs at Risk Software Image Processing, Computer-Assisted
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A feasibility study on deep learning-based individualized 3D dose distribution prediction.

Medical physics Jul 11, 2021
PURPOSE: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An approximately optimal dose distribution corresponding to a specific patient's anatomy can be predicted by using pre-trained deep learning (DL) models...
Humans Male Deep Learning Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software.

Radiation oncology (London, England) Jun 29, 2021
BACKGROUND: Any Monte Carlo simulation of dose delivery using medical accelerator-generated megavolt photon beams begins by simulating electrons of the primary electron beam interacting with a target. Because the electron beam characteristics of any ...
Regression Analysis Phantoms, Imaging Photons Radiotherapy Planning, Computer-Assisted Humans Particle Accelerators Radiotherapy Dosage Machine Learning Software Monte Carlo Method Computer Simulation Models, Statistical Principal Component Analysis Electrons
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