AIMC Topic: Radiation Dosage

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A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.
Radiation Dosage Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Algorithms Tomography, X-Ray Computed Deep Learning
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CT Dosimetry: What Has Been Achieved and What Remains to Be Done.

Investigative radiology Jan 1, 2021
Radiation dose in computed tomography (CT) has become a hot topic due to an upward trend in the number of CT procedures worldwide and the relatively high doses associated with these procedures. The main aim of this review article is to provide an ove...
Humans Artificial Intelligence Phantoms, Imaging Radiometry Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed Radiation Dosage Monte Carlo Method
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Computed Tomography Image Reconstruction.

Radiologic technology Nov 1, 2020
Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that were noisy and included artifacts. Iterative reconstruction was introduced, which reduced noise and demonstrated dose reduction; however, reconstructio...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Artificial Intelligence Algorithms Tomography, X-Ray Computed
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Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography.

Abdominal radiology (New York) Sep 1, 2020
PURPOSE: Deep learning reconstruction (DLR) introduces deep convolutional neural networks into the reconstruction flow. We examined the clinical applicability of drip-infusion cholangiography (DIC) acquired on an ultra-high-resolution CT (U-HRCT) sca...
Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Retrospective Studies Radiation Dosage Cholangiography
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Image-guidance, Robotics, and the Future of Spine Surgery.

Clinical spine surgery Jun 1, 2020
Spine surgery has seen considerable advancements over the last 2 decades, particularly in the fields of image-guidance and robotics. These technologies offer the potential to overcome the various technical challenges in spinal surgery, such as physic...
Radiation Dosage Orthopedics Tomography Scanners, X-Ray Computed Augmented Reality Surgery, Computer-Assisted Diagnostic Imaging Equipment Design Robotic Surgical Procedures Neurosurgical Procedures Fluoroscopy Spine Tomography, X-Ray Computed Reproducibility of Results Robotics Humans
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Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.

Journal of thoracic imaging May 1, 2020
Artificial intelligence (AI) algorithms are dependent on a high amount of robust data and the application of appropriate computational power and software. AI offers the potential for major changes in cardiothoracic imaging. Beyond image processing, m...
Radiographic Image Enhancement Machine Learning Contrast Media Humans Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Imaging, Three-Dimensional Radiation Dosage
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Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Male Middle Aged Deep Learning Humans Signal-To-Noise Ratio ROC Curve Tomography, X-Ray Computed Aged Area Under Curve Abdomen Female Young Adult Radiographic Image Interpretation, Computer-Assisted Body Mass Index Radiation Dosage Adult
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[Quantitative Analysis of Emphysema in Ultra-high-resolution CT by Using Deep Learning Reconstruction: Comparison with Hybrid Iterative Reconstruction].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2020
PURPOSE: The noise generated in ultra-high-resolution computed tomography (U-HRCT) images affects the quantitative analysis of emphysema. In this study, we compared the physical properties of reconstructed images for hybrid iterative reconstruction (...
Radiation Dosage Emphysema Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
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[Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2020
PURPOSE: It is well known that there is a trade-off relationship between image noise and exposure dose in X-ray computed tomography (CT) examination. Therefore, CT dose level was evaluated by using the CT image noise property. Although noise power sp...
Phantoms, Imaging Neural Networks, Computer Tomography, X-Ray Computed Radiation Dosage Signal-To-Noise Ratio
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[Development of CT Pelvimetry Using Deep Learning Based Reconstruction].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2020
PURPOSE: X-ray pelvimetry is typically performed for the diagnosis of the cephalopelvic disproportion (CPD). The purpose of this study was to assess the utility of new computed tomography (CT) reconstruction "deep learning based reconstruction (DLR) ...
Tomography, X-Ray Computed Cephalopelvic Disproportion Pregnancy Humans Female Deep Learning Pelvimetry Japan Radiation Dosage
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