AIMC Topic: Radiotherapy Dosage

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Accelerate treatment planning process using deep learning generated fluence maps for cervical cancer radiation therapy.

Medical physics Feb 25, 2022
PURPOSE: This study aims to develop a deep learning method that skips the time-consuming inverse optimization process for automatic generation of machine-deliverable intensity-modulated radiation therapy (IMRT) plans.
Radiotherapy, Intensity-Modulated Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Female Uterine Cervical Neoplasms Humans
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The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.

Medical physics Feb 25, 2022
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachytherapy faces challenges relating to imaging noise and artifacts. To date, catheter reconstruction during the clinical procedure is performed manually. De...
Male Deep Learning Prostatic Neoplasms Retrospective Studies Reproducibility of Results Humans Brachytherapy Radiotherapy Dosage Catheters Ultrasonography, Interventional Prostate
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Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 18, 2022
BACKGROUND AND PURPOSE: To develop a novel deep learning algorithm of sequential analysis, Seq2Seq, for predicting weekly anatomical changes of lung tumor and esophagus during definitive radiotherapy, incorporate the potential tumor shrinkage into a ...
Lung Neoplasms Humans Radiotherapy, Intensity-Modulated Deep Learning Radiotherapy Planning, Computer-Assisted Lung Radiotherapy Dosage
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A feasibility study for in vivo treatment verification of IMRT using Monte Carlo dose calculation and deep learning-based modelling of EPID detector response.

Radiation oncology (London, England) Feb 10, 2022
BACKGROUND: This paper describes the development of a predicted electronic portal imaging device (EPID) transmission image (TI) using Monte Carlo (MC) and deep learning (DL). The measured and predicted TI were compared for two-dimensional in vivo rad...
Radiotherapy, Intensity-Modulated Monte Carlo Method Humans Phantoms, Imaging Feasibility Studies Computer Simulation Algorithms Radiotherapy Dosage Deep Learning
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Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.

Medical physics Feb 9, 2022
PURPOSE: Magnetic resonance (MR) imaging is the gold standard in image-guided brachytherapy (IGBT) due to its superior soft-tissue contrast for target and organs-at-risk (OARs) delineation. Accurate and fast segmentation of MR images are very importa...
Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Brachytherapy Humans Female Deep Learning Magnetic Resonance Imaging Uterine Cervical Neoplasms
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A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.

Medical physics Feb 9, 2022
PURPOSE: To propose a clinically feasible automatic planning solution for external beam intensity-modulated radiotherapy, including dose prediction via a deep learning and voxel-based optimization strategy.
Humans Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Nasopharyngeal Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted China
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Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.

Radiation oncology (London, England) Jan 31, 2022
BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometric metrics. An analysis based on dosimetric parameters might be more relevant in clinical practice but is often lacking in the literature. The aim of t...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Tomography, X-Ray Computed Radiotherapy, Image-Guided Radiometry Retrospective Studies Male Deep Learning Prostatic Neoplasms
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Site-agnostic 3D dose distribution prediction with deep learning neural networks.

Medical physics Jan 27, 2022
PURPOSE: Typically, the current dose prediction models are limited to small amounts of data and require retraining for a specific site, often leading to suboptimal performance. We propose a site-agnostic, three-dimensional dose distribution predictio...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Humans Male Deep Learning
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Multiresolution residual deep neural network for improving pelvic CBCT image quality.

Medical physics Jan 27, 2022
PURPOSE: Cone-beam computed tomography (CBCT) is frequently used for accurate image-guided radiation therapy. However, the poor CBCT image quality prevents its further clinical use. Thus, it is important to improve the HU accuracy and structure prese...
Neural Networks, Computer Cone-Beam Computed Tomography Male Humans Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Deep Learning Radiotherapy Dosage
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Deep Learning for Radiotherapy Outcome Prediction Using Dose Data - A Review.

Clinical oncology (Royal College of Radiologists (Great Britain)) Dec 16, 2021
Artificial intelligence, and in particular deep learning using convolutional neural networks, has been used extensively for image classification and segmentation, including on medical images for diagnosis and prognosis prediction. Use in radiotherapy...
Radiotherapy Dosage Prognosis Humans Deep Learning Artificial Intelligence Radiation Oncology
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