AIMC Topic: Radiation Dosage

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Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study.

Dento maxillo facial radiology Apr 29, 2021
OBJECTIVES: This study aimed to improve the impact of the metal artefact reduction (MAR) algorithm for the oral cavity by assessing the effect of acquisition and reconstruction parameters on an ultra-high-resolution CT (UHRCT) scanner.
Deep Learning Radiographic Image Interpretation, Computer-Assisted Mouth Tomography, X-Ray Computed Reproducibility of Results Phantoms, Imaging Artifacts Radiation Dosage Humans Algorithms
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Comparison of image quality and lesion diagnosis in abdominopelvic unenhanced CT between reduced-dose CT using deep learning post-processing and standard-dose CT using iterative reconstruction: A prospective study.

European journal of radiology Apr 24, 2021
PURPOSE: To compare image quality and lesion diagnosis between reduced-dose abdominopelvic unenhanced computed tomography (CT) using deep learning (DL) post-processing and standard-dose CT using iterative reconstruction (IR).
China Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Prospective Studies Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.

European radiology Apr 23, 2021
OBJECTIVES: To investigate the image quality and perception of a sinogram-based deep learning image reconstruction (DLIR) algorithm for single-energy abdominal CT compared to standard-of-care strength of ASIR-V.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies Tomography, X-Ray Computed Algorithms
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Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study.

European radiology Apr 22, 2021
OBJECTIVES: (1) To compare low-contrast detectability of a deep learning-based denoising algorithm (DLA) with ADMIRE and FBP, and (2) to compare image quality parameters of DLA with those of reconstruction methods from two different CT vendors (ADMIR...
Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Tomography, X-Ray Computed Deep Learning Algorithms
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Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation.

Medical image analysis Apr 15, 2021
The two-dimensional nature of mammography makes estimation of the overall breast density challenging, and estimation of the true patient-specific radiation dose impossible. Digital breast tomosynthesis (DBT), a pseudo-3D technique, is now commonly us...
Humans Female Breast Density Mammography Breast Radiation Dosage Breast Neoplasms Deep Learning
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A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients.

European radiology Mar 19, 2021
OBJECTIVE: To analyze and compare the imaging workflow, radiation dose, and image quality for COVID-19 patients examined using either the conventional manual positioning (MP) method or an AI-based automatic positioning (AP) method.
Adult Radiation Dosage COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Humans Artificial Intelligence
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Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.

Medical physics Mar 16, 2021
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for fully automated volumetric segmentation of pancreas on computed tomography (CT) and to further evaluate its performance in the context of intra-reader and...
Tomography, X-Ray Computed Female Male Deep Learning Reproducibility of Results Humans Image Processing, Computer-Assisted Pancreas Radiation Dosage
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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...
Radiotherapy Planning, Computer-Assisted Radiation Dosage Monte Carlo Method Radiometry Radiotherapy Dosage Humans Neural Networks, Computer
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Deep learning-based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms.

European radiology Mar 10, 2021
OBJECTIVES: To evaluate image quality and reconstruction times of a commercial deep learning reconstruction algorithm (DLR) compared to hybrid-iterative reconstruction (Hybrid-IR) and model-based iterative reconstruction (MBIR) algorithms for cerebra...
Radiation Dosage Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans
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Accurate surface ultraviolet radiation forecasting for clinical applications with deep neural network.

Scientific reports Mar 3, 2021
Exposure to appropriate doses of UV radiation provides enormously health and medical treatment benefits including psoriasis. Typical hospital-based phototherapy cabinets contain a bunch of artificial lamps, either broad-band (main emission spectrum 2...
Humans Deep Learning Ultraviolet Rays Datasets as Topic Heliotherapy Radiation Dosage Ultraviolet Therapy Psoriasis Radiometry Benchmarking Sunlight
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