AIMC Topic: Radiation Dosage

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A machine learning framework with anatomical prior for online dose verification using positron emitters and PET in proton therapy.

Physics in medicine and biology Sep 14, 2020
We developed a machine learning framework in order to establish the correlation between dose and activity distributions in proton therapy. A recurrent neural network was used to predict dose distribution in three dimensions based on the information o...
Machine Learning Image Processing, Computer-Assisted Electrons Humans Neural Networks, Computer Radiotherapy Dosage Proton Therapy Uncertainty Positron-Emission Tomography Radiation Dosage Signal-To-Noise Ratio
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Image denoising by transfer learning of generative adversarial network for dental CT.

Biomedical physics & engineering express Sep 8, 2020
The successful development of the image denoising techniques for low-dose computed tomography (LDCT) was largely owing to the public-domain availability of spatially-aligned high- and low-dose CT image pairs. Even though low-dose CT scans are also hi...
Radiation Dosage Signal-To-Noise Ratio Skull Adult Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Radiography, Dental Humans Algorithms Databases, Factual Tomography, X-Ray Computed
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Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network.

European radiology Sep 3, 2020
OBJECTIVES: The current study aimed to design an ultra-low-dose CT examination protocol using a deep learning approach suitable for clinical diagnosis of COVID-19 patients.
Neural Networks, Computer COVID-19 Algorithms Humans Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Reproducibility of Results SARS-CoV-2
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Use of artificial intelligence in computed tomography dose optimisation.

Annals of the ICRP Sep 1, 2020
The field of artificial intelligence (AI) is transforming almost every aspect of modern society, including medical imaging. In computed tomography (CT), AI holds the promise of enabling further reductions in patient radiation dose through automation ...
Radiation Protection Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Radiation Dosage
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Accurate 3D-dose-based generation of MLC segments for robotic radiotherapy.

Physics in medicine and biology Aug 31, 2020
Radiotherapy treatment planning requires accurate modeling of the delivered patient dose, including radiation scatter effects, multi-leaf collimator (MLC) leaf transmission, interleaf-leakage, etc. In fluence map optimization (FMO), a simple dose mod...
Radiotherapy Dosage Radiotherapy, Computer-Assisted Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiation Dosage Male Liver Neoplasms Robotics Humans
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What is the point of innovation in patient dose monitoring?

Annals of the ICRP Aug 25, 2020
says that radiology is one of the fastest growing and developing areas of medicine, and therefore this might be the speciality in which we can expect to see the largest steps in development. So why do they think that, and does it apply to dose monit...
Machine Learning Humans Radiation Monitoring Inventions Artificial Intelligence Radiation Protection Radiation Dosage
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Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.

Korean journal of radiology Jul 27, 2020
OBJECTIVE: Iterative reconstruction degrades image quality. Thus, further advances in image reconstruction are necessary to overcome some limitations of this technique in low-dose computed tomography (LDCT) scan of the chest. Deep-learning image reco...
Radiation Dosage Male Signal-To-Noise Ratio Female Humans Lung Neoplasms Thorax Aged Retrospective Studies Middle Aged Early Detection of Cancer Aged, 80 and over Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images.

Radiation oncology (London, England) Jul 20, 2020
BACKGROUND: Impaired function of masticatory muscles will lead to trismus. Routine delineation of these muscles during planning may improve dose tracking and facilitate dose reduction resulting in decreased radiation-related trismus. This study aimed...
Humans Tomography, X-Ray Computed Masticatory Muscles Deep Learning Observer Variation Head and Neck Neoplasms Radiation Dosage Neck Atlases as Topic
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Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.

Medical physics Jul 6, 2020
PURPOSE: To characterize the noise and spatial resolution properties of a commercially available deep learning-based computed tomography (CT) reconstruction algorithm.
Phantoms, Imaging Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed
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Neural networks-based regularization for large-scale medical image reconstruction.

Physics in medicine and biology Jul 6, 2020
In this paper we present a generalized Deep Learning-based approach for solving ill-posed large-scale inverse problems occuring in medical image reconstruction. Recently, Deep Learning methods using iterative neural networks (NNs) and cascaded NNs ha...
Humans Neural Networks, Computer Cone-Beam Computed Tomography Image Processing, Computer-Assisted Phantoms, Imaging Diagnostic Imaging Artifacts Radiation Dosage Signal-To-Noise Ratio
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