AIMC Topic: Magnetic Resonance Angiography

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Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA.

AJNR. American journal of neuroradiology Aug 12, 2021
BACKGROUND AND PURPOSE: The detection of cerebral aneurysms on MRA is a challenging task. Recent studies have used deep learning-based software for automated detection of aneurysms on MRA and have reported high performance. The purpose of this study ...
Humans Software Brain Deep Learning Magnetic Resonance Angiography Intracranial Aneurysm Retrospective Studies Sensitivity and Specificity
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Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.

Magnetic resonance in medicine Jul 9, 2021
PURPOSE: To develop and evaluate a novel and generalizable super-resolution (SR) deep-learning framework for motion-compensated isotropic 3D coronary MR angiography (CMRA), which allows free-breathing acquisitions in less than a minute.
Coronary Vessels Magnetic Resonance Angiography Retrospective Studies Deep Learning Coronary Angiography Heart Imaging, Three-Dimensional Humans Prospective Studies
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Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal of vascular surgery Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Asymptomatic Diseases Computed Tomography Angiography Carotid Stenosis Magnetic Resonance Angiography Medical Records Comparative Effectiveness Research Natural Language Processing Data Mining California International Classification of Diseases Ultrasonography, Doppler Severity of Illness Index Hemodynamics Predictive Value of Tests Retrospective Studies Cross-Sectional Studies Humans
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End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA.

Magnetic resonance in medicine Jun 6, 2021
PURPOSE: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) reconstruction of ninefold undersampled free-breathing whole-heart coronary MRA (CMRA).
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Retrospective Studies Magnetic Resonance Angiography Heart Motion
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Three Fundamental Elements for Deep Learning-based Computer-assisted Diagnostic Tools of Intracranial Aneurysms.

Radiology May 18, 2021
Retrospective Studies Deep Learning Humans Intracranial Aneurysm Computers Magnetic Resonance Angiography
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Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.

Medical image analysis Apr 5, 2021
Time-of-flight magnetic resonance angiography (TOF-MRA) is one of the most widely used non-contrast MR imaging methods to visualize blood vessels, but due to the 3-D volume acquisition highly accelerated acquisition is necessary. Accordingly, high qu...
Deep Learning Magnetic Resonance Angiography Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Editorial For "Reduction of Contrast Agent Dose in Cardiovascular MR Angiography Using Deep Learning".

Journal of magnetic resonance imaging : JMRI Mar 26, 2021
Deep Learning Contrast Media Magnetic Resonance Angiography Gadolinium Humans
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Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic.

BMC medical imaging Feb 27, 2021
BACKGROUND: Non-invasive imaging is of interest for tracking the progression of atherosclerosis in the carotid bifurcation, and segmenting this region into its constituent branch arteries is necessary for analyses. The purpose of this study was to va...
Contrast Media Deep Learning Atherosclerosis Humans Magnetic Resonance Angiography Carotid Arteries Image Processing, Computer-Assisted Neural Networks, Computer Carotid Artery Diseases
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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.
Retrospective Studies Deep Learning Imaging, Three-Dimensional Humans Contrast Media Reducing Agents Prospective Studies Magnetic Resonance Angiography
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Super-resolution head and neck MRA using deep machine learning.

Magnetic resonance in medicine Feb 22, 2021
PURPOSE: To probe the feasibility of deep learning-based super-resolution (SR) reconstruction applied to nonenhanced MR angiography (MRA) of the head and neck.
Neck Magnetic Resonance Angiography Deep Learning Imaging, Three-Dimensional Humans Machine Learning
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