AIMC Topic: Magnetic Resonance Imaging

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High relaxivity Gd-based organic nanoparticles for efficient magnetic resonance angiography.

Journal of nanobiotechnology Mar 31, 2022
Contrast-enhanced MR angiography (MRA) is a critical technique for vascular imaging. Nevertheless, the efficacy of MRA is often limited by the low rate of relaxation, short blood-circulation time, and metal ion-released potential long-term toxicity o...
Gadolinium Nanoparticles Magnetic Resonance Angiography Magnetic Resonance Imaging Metals
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Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes.

European radiology Mar 29, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) provides improved cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes without increasing imaging time.
Spinal Canal Cervical Vertebrae Constriction, Pathologic Spinal Stenosis Observer Variation Deep Learning Magnetic Resonance Imaging Middle Aged Humans Female Adult Male
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Automatic MRI segmentation of pectoralis major muscle using deep learning.

Scientific reports Mar 29, 2022
To develop and validate a deep convolutional neural network (CNN) method capable of selecting the greatest Pectoralis Major Cross-Sectional Area (PMM-CSA) and automatically segmenting PMM on an axial Magnetic Resonance Imaging (MRI). We hypothesized ...
Magnetic Resonance Imaging Pectoralis Muscles Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer's disease.

Alzheimer's research & therapy Mar 29, 2022
BACKGROUND: The three core pathologies of Alzheimer's disease (AD) are amyloid pathology, tau pathology, and neurodegeneration. Biomarkers exist for each. Neurodegeneration is often detected by neuroimaging, and we hypothesized that a voxel-based dee...
Humans Biomarkers Alzheimer Disease Neuroimaging Deep Learning Magnetic Resonance Imaging
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How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Neuroinformatics Mar 28, 2022
This report presents an overview of how machine learning is rapidly advancing clinical translational imaging in ways that will aid in the early detection, prediction, and treatment of diseases that threaten brain health. Towards this goal, we areshar...
Machine Learning Brain Humans Magnetic Resonance Imaging Neuroimaging
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Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist".

Journal of magnetic resonance imaging : JMRI Mar 28, 2022
Humans Breast Neoplasms Deep Learning Retrospective Studies Female Radiologists Magnetic Resonance Imaging Breast Radiography
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MR-assisted PET respiratory motion correction using deep-learning based short-scan motion fields.

Magnetic resonance in medicine Mar 28, 2022
PURPOSE: We evaluated the impact of PET respiratory motion correction (MoCo) in a phantom and patients. Moreover, we proposed and examined a PET MoCo approach using motion vector fields (MVFs) from a deep-learning reconstructed short MRI scan.
Magnetic Resonance Imaging Deep Learning Positron-Emission Tomography Image Processing, Computer-Assisted Humans Motion
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Cramér-Rao bound-informed training of neural networks for quantitative MRI.

Magnetic resonance in medicine Mar 28, 2022
PURPOSE: To improve the performance of neural networks for parameter estimation in quantitative MRI, in particular when the noise propagation varies throughout the space of biophysical parameters.
Neural Networks, Computer Magnetic Resonance Imaging Phantoms, Imaging
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Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images.

Sensors (Basel, Switzerland) Mar 27, 2022
In recent years, the use of deep learning-based models for developing advanced healthcare systems has been growing due to the results they can achieve. However, the majority of the proposed deep learning-models largely use convolutional and pooling o...
Records Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Brain
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Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer.

Computational intelligence and neuroscience Mar 27, 2022
This research was aimed investigate the application value and diagnostic effect of dark-lumen magnetic resonance imaging (dark-lumen MRI) based on artificial intelligence algorithm on colon cancer. A total of 98 patients with ulcerated colon cancer ...
Diagnosis, Differential Colonic Neoplasms Humans Algorithms Artificial Intelligence Magnetic Resonance Imaging
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