AIMC Topic: Contrast Media
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Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.
European radiology
Feb 25, 2021
OBJECTIVES: To reduce the dose of intravenous iodine-based contrast media (ICM) in CT through virtual contrast-enhanced images using generative adversarial networks.
Machine Learning-based Differentiation of Benign and Premalignant Colorectal Polyps Detected with CT Colonography in an Asymptomatic Screening Population: A Proof-of-Concept Study.
Radiology
Feb 23, 2021
Background CT colonography does not enable definite differentiation between benign and premalignant colorectal polyps. Purpose To perform machine learning-based differentiation of benign and premalignant colorectal polyps detected with CT colonograph...
Reducing Contrast Agent Dose in Cardiovascular MR Angiography with Deep Learning.
Journal of magnetic resonance imaging : JMRI
Feb 22, 2021
BACKGROUND: Contrast-enhanced magnetic resonance angiography (MRA) is used to assess various cardiovascular conditions. However, gadolinium-based contrast agents (GBCAs) carry a risk of dose-related adverse effects.
Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
The British journal of radiology
Feb 22, 2021
OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR).
Humans
Algorithms
Prospective Studies
Aged, 80 and over
Adult
Male
Middle Aged
Tomography, X-Ray Computed
Female
Aged
Postoperative Period
Whole Body Imaging
Radiographic Image Interpretation, Computer-Assisted
Quality Control
Radiation Dosage
Neoplasms
Signal-To-Noise Ratio
Deep Learning
Contrast Media
Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach.
Journal of magnetic resonance imaging : JMRI
Feb 17, 2021
BACKGROUND: Quantification of myocardium scarring in late gadolinium enhanced (LGE) cardiac magnetic resonance imaging can be challenging due to low scar-to-background contrast and low image quality. To resolve ambiguous LGE regions, experienced read...
Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T-weighted Contrast-enhanced Imaging.
BMC medical imaging
Feb 3, 2021
BACKGROUND: Based on conventional MRI images, it is difficult to differentiatepseudoprogression from true progressionin GBM patients after standard treatment, which isa critical issue associated with survival. The aim of this study was to evaluate th...
Deep learning-assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver.
European radiology
Jan 6, 2021
OBJECTIVES: To train a deep learning model to differentiate between pathologically proven hepatocellular carcinoma (HCC) and non-HCC lesions including lesions with atypical imaging features on MRI.
On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks.
Magnetic resonance imaging
Jan 2, 2021
Multi-contrast (MC) Magnetic Resonance Imaging (MRI) of the same patient usually requires long scanning times, despite the images sharing redundant information. In this work, we propose a new iterative network that utilizes the sharable information a...
Brain Contrast-Enhanced Ultrasound Evaluation of a Pediatric Swine Model.
Ultrasound quarterly
Dec 16, 2020
Brain injury remains a leading cause of morbidity and mortality in children. We evaluated the feasibility of using a pediatric swine model to develop contrast-enhanced ultrasound (CEUS)-based measures of brain perfusion for clinical application in va...
Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.
Circulation. Cardiovascular imaging
Dec 15, 2020
BACKGROUND: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, widespread adoption of atrial LGE ...
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