AIMC Topic: Magnetic Resonance Imaging

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Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning.

Computational and mathematical methods in medicine May 4, 2022
This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U-Net) and multilevel boundary sensing residual U-shaped network (RUNet) and their application values on the auxiliary diagnosis of lung cancer. In thi...
Lung Neoplasms Deep Learning Carcinoembryonic Antigen Magnetic Resonance Imaging Image Processing, Computer-Assisted Humans Algorithms
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Brain network connectivity feature extraction using deep learning for Alzheimer's disease classification.

Neuroscience letters May 2, 2022
Early diagnosis and therapeutic intervention for Alzheimer's disease (AD) is currently the only viable option for improving clinical outcomes. Combining structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imag...
Humans Brain Brain Mapping Alzheimer Disease Deep Learning Magnetic Resonance Imaging
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Insomnia disorder diagnosed by resting-state fMRI-based SVM classifier.

Sleep medicine Apr 30, 2022
BACKGROUND: The main classification systems of sleep disorders are based on the subjective self-reported criteria. Objective measures are essential to characterize the nocturnal sleep disturbance, identify daytime impairment, and determine the course...
Humans Electroencephalography Brain Sleep Initiation and Maintenance Disorders Support Vector Machine Magnetic Resonance Imaging
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Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach.

Magnetic resonance imaging Apr 30, 2022
BACKGROUND: T2-weighted imaging (T2WI) is a key sequence of MRI studies of the pancreas. The single-shot fast spin echo (single-shot FSE) sequence is an accelerated form of T2WI. We hypothesized that denoising approach with deep learning-based recons...
Humans Deep Learning Magnetic Resonance Imaging Feasibility Studies Signal-To-Noise Ratio Breath Holding
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The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists.

BMC medical imaging Apr 30, 2022
PURPOSE: To compare the diagnostic performance of deep learning models using convolutional neural networks (CNN) with that of radiologists in diagnosing endometrial cancer and to verify suitable imaging conditions.
Endometrial Neoplasms Female Deep Learning Magnetic Resonance Imaging Humans Radiologists Retrospective Studies
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Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma-a systematic review.

European radiology Apr 29, 2022
OBJECTIVES: Radiomics is a promising avenue in non-invasive characterisation of diffuse glioma. Clinical translation is hampered by lack of reproducibility across centres and difficulty in standardising image intensity in MRI datasets. The study aim ...
Humans Artificial Intelligence Magnetic Resonance Imaging Reference Standards Reproducibility of Results Glioma
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DARQ: Deep learning of quality control for stereotaxic registration of human brain MRI to the T1w MNI-ICBM 152 template.

NeuroImage Apr 29, 2022
Linear registration to stereotaxic space is a common first step in many automated image-processing tools for analysis of human brain MRI scans. This step is crucial for the success of the subsequent image-processing steps. Several well-established al...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Quality Control Brain Deep Learning Humans
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Deep Learning-Based Multimodal 3 T MRI for the Diagnosis of Knee Osteoarthritis.

Computational and mathematical methods in medicine Apr 29, 2022
The objective of this study was to investigate the application effect of deep learning model combined with different magnetic resonance imaging (MRI) sequences in the evaluation of cartilage injury of knee osteoarthritis (KOA). Specifically, an image...
Knee Joint Cartilage, Articular Humans Deep Learning Osteoarthritis, Knee Knee Injuries Magnetic Resonance Imaging
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[Modern mid-field magnetic resonance imaging in private practice : Field report].

Der Radiologe Apr 28, 2022
BACKGROUND: With the 0.55 T magnetic resonance imaging (MRI) scanner "Free.Max", a new device concept in the mid-field sector is being introduced into the market. New technologies and artificial intelligence (AI) applications as well as a new coil co...
Artifacts Humans Private Practice Magnetic Resonance Imaging Artificial Intelligence Research Report
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Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.

NeuroImage Apr 27, 2022
Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (MRI) in part due to its easy inclusion into routine acquisitions. In k-space based parallel imaging reconstruction, sub-sampled k-space data are inter...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Magnetic Resonance Imaging Artifacts Humans
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