AIMC Topic: Magnetic Resonance Imaging

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New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners.

Neuroradiology Feb 25, 2022
PURPOSE: To perform a review of the physical basis of DTI and DCE-MRI applied to Peripheral Nerves (PNs) evaluation with the aim of providing readers the main concepts and tools to acquire these types of sequences for PNs assessment. The potential ad...
Algorithms Magnetic Resonance Imaging Peripheral Nerves Humans Artificial Intelligence
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Quantitative Analysis of DCE and DSC-MRI: From Kinetic Modeling to Deep Learning.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Feb 24, 2022
BACKGROUND: Perfusion MRI is a well-established imaging modality with a multitude of applications in oncological and cardiovascular imaging. Clinically used processing methods, while stable and robust, have remained largely unchanged in recent years....
Neural Networks, Computer Machine Learning Deep Learning Magnetic Resonance Angiography Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Use of deep learning in the MRI diagnosis of Chiari malformation type I.

Neuroradiology Feb 24, 2022
PURPOSE: To train deep learning convolutional neural network (CNN) models for classification of clinically significant Chiari malformation type I (CM1) on MRI to assist clinicians in diagnosis and decision making.
Retrospective Studies Humans Female Deep Learning Neural Networks, Computer Adult Magnetic Resonance Imaging Arnold-Chiari Malformation
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Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.

Sensors (Basel, Switzerland) Feb 24, 2022
Usage of effective classification techniques on Magnetic Resonance Imaging (MRI) helps in the proper diagnosis of brain tumors. Previous studies have focused on the classification of normal (nontumorous) or abnormal (tumorous) brain MRIs using method...
Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Brain Support Vector Machine
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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Adolescent Computational Biology Magnetic Resonance Imaging Aged Middle Aged Cholangitis Liver Machine Learning Aged, 80 and over Case-Control Studies Retrospective Studies Humans Young Adult Bile Duct Neoplasms Female Neural Networks, Computer Klatskin Tumor Adult Male
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Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.

European radiology Feb 23, 2022
Humans Magnetic Resonance Imaging Prostatic Neoplasms Prostate Artificial Intelligence Software Male
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Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.

Scientific reports Feb 23, 2022
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such individuals are scarce. This has led to increasing interest in the developmen...
Neuroimaging Models, Psychological ROC Curve Magnetic Resonance Imaging Reproducibility of Results Young Adult Adult Male Adolescent Child Autism Spectrum Disorder Brain Female Humans Machine Learning
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A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma.

Journal of magnetic resonance imaging : JMRI Feb 22, 2022
BACKGROUND: Assessment of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) by using a noninvasive method is an unresolved issue. Deep learning (DL) methods based on multiparametric fusion of MR images have the potential of preope...
Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Deep Learning Magnetic Resonance Imaging Humans Female Retrospective Studies Sensitivity and Specificity Male
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Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI.

Skeletal radiology Feb 22, 2022
OBJECTIVE: To evaluate if deep learning is a feasible approach for automated detection of supraspinatus tears on MRI.
Magnetic Resonance Imaging Rotator Cuff Injuries Rotator Cuff Humans Retrospective Studies Deep Learning
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[New clinical applications for low-field magnetic resonance imaging : Technical and physical aspects].

Der Radiologe Feb 22, 2022
BACKGROUND: Low-field magnetic resonance imaging (MRI) is experiencing a renaissance due to technical innovations. The new-generation devices offer new applications for imaging and a possible solution to increasing cost pressures in the healthcare sy...
Artifacts Magnetic Resonance Imaging Humans Prostheses and Implants Artificial Intelligence Lumbar Vertebrae
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