AIMC Topic: Radiotherapy Dosage
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Clinical validation of a commercially available deep learning software for synthetic CT generation for brain.
Radiation oncology (London, England)
Apr 7, 2021
BACKGROUND: Most studies on synthetic computed tomography (sCT) generation for brain rely on in-house developed methods. They often focus on performance rather than clinical feasibility. Therefore, the aim of this work was to validate sCT images gene...
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy.
Medical physics
Mar 23, 2021
The era of real-time radiotherapy is upon us. Robotic and gimbaled linac tracking are clinically established technologies with the clinical realization of couch tracking in development. Multileaf collimators (MLCs) are a standard equipment for most c...
Radiation therapy dose prediction for left-sided breast cancers using two-dimensional and three-dimensional deep learning models.
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)
Mar 20, 2021
PURPOSE: To develop a deep learning model capable of producing clinically acceptable dose distributions for left-sided breast cancers for 3D-CRT while exploring the use of two-dimensional versus three-dimensional anatomical data.
Computation of epistemic uncertainty due to limited data samples in small field dosimetry using Fuzzy Set Theory.
The British journal of radiology
Mar 18, 2021
OBJECTIVE: To estimate the epistemic (or fuzzy) uncertainty, arising due to limited data samples in the measurement of the output factors (OFs) of the small fields using Fuzzy Set Theory (FST).
Radiation dose calculation in 3D heterogeneous media using artificial neural networks.
Medical physics
Mar 16, 2021
PURPOSE: External beam radiotherapy (EBRT) treatment planning requires a fast and accurate method of calculating the dose delivered by a clinical treatment plan. However, existing methods of calculating dose distributions have limitations. Monte Carl...
Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance.
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)
Mar 10, 2021
PURPOSE: To investigate the effect of data quality and quantity on the performance of deep learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of esophageal cancer.
DeepDose: a robust deep learning-based dose engine for abdominal tumours in a 1.5 T MRI radiotherapy system.
Physics in medicine and biology
Mar 9, 2021
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator seg...
Male
Deep Learning
Magnetic Resonance Imaging
Humans
Neural Networks, Computer
Reproducibility of Results
Neoplasm Metastasis
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated
Prostatic Neoplasms
Rectal Neoplasms
Radiotherapy Planning, Computer-Assisted
Particle Accelerators
Monte Carlo Method
Abdominal Neoplasms
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
Physics in medicine and biology
Feb 24, 2021
Recently, artificial intelligence technologies and algorithms have become a major focus for advancements in treatment planning for radiation therapy. As these are starting to become incorporated into the clinical workflow, a major concern from clinic...
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system.
Physics in medicine and biology
Feb 9, 2021
This study aims to demonstrate a low-cost camera-based radioluminescence imaging system (CRIS) for high-quality beam visualization that encourages accurate pre-treatment verifications on radiation delivery in external beam radiotherapy. To ameliorate...
DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy.
Physics in medicine and biology
Jan 29, 2021
Emerging magnetic resonance (MR) guided radiotherapy affords significantly improved anatomy visualization and, subsequently, more effective personalized treatment. The new therapy paradigm imposes significant demands on radiation dose calculation qua...
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