AIMC Topic: 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...
Electroencephalography Sleep Initiation and Maintenance Disorders Support Vector Machine Magnetic Resonance Imaging Humans Brain
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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 Signal-To-Noise Ratio Breath Holding Magnetic Resonance Imaging Feasibility Studies
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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.
Magnetic Resonance Imaging Radiologists Endometrial Neoplasms Female Deep Learning Humans 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 ...
Magnetic Resonance Imaging Reference Standards Humans Reproducibility of Results Artificial Intelligence 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 Brain Deep Learning Quality Control 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 Deep Learning Cartilage, Articular Osteoarthritis, Knee Humans 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...
Humans Artificial Intelligence Artifacts Private Practice Magnetic Resonance Imaging 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...
Neural Networks, Computer Algorithms Humans Magnetic Resonance Imaging Artifacts Deep Learning Image Processing, Computer-Assisted
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From CNNs to GANs for cross-modality medical image estimation.

Computers in biology and medicine Apr 27, 2022
Cross-modality image estimation involves the generation of images of one medical imaging modality from that of another modality. Convolutional neural networks (CNNs) have been shown to be useful in image-to-image intensity projections, in addition to...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Benchmarking
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Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning.

Computational and mathematical methods in medicine Apr 27, 2022
It is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to make accurate evaluation and optimize the stroke disease treatment plan according to the evaluation results. To address the problems of poor restorati...
Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Magnetic Resonance Imaging Humans Stroke Rehabilitation Stroke Algorithms
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