AIMC Topic:
Magnetic Resonance Imaging

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Adrenal lesion classification with abdomen caps and the effect of ROI size.

Physical and engineering sciences in medicine Apr 25, 2023
Accurate classification of adrenal lesions on magnetic resonance (MR) images are very important for diagnosis and treatment planning. The detection and classification of lesions in medical imaging heavily rely on several key factors, including the sp...
Humans Artificial Intelligence Abdomen Magnetic Resonance Imaging Deep Learning Radiology
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The potential for clinical application of automatic quantification of olfactory bulb volume in MRI scans using convolutional neural networks.

NeuroImage. Clinical Apr 25, 2023
The olfactory bulbs (OBs) play a key role in olfactory processing; their volume is important for diagnosis, prognosis and treatment of patients with olfactory loss. Until now, measurements of OB volumes have been limited to quantification of manually...
Olfactory Bulb Magnetic Resonance Imaging Smell Humans Neural Networks, Computer
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Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure.

Medical image analysis Apr 22, 2023
The development of cerebrovascular disease is tightly coupled to regional changes in intracranial flow and relative pressure. Image-based assessment using phase contrast magnetic resonance imaging has particular promise for non-invasive full-field ma...
Image Enhancement Hemodynamics Blood Flow Velocity Deep Learning Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging
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A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers.

The British journal of radiology Apr 22, 2023
OBJECTIVES: To evaluate the feasibility of combining compressed sense (CS) with a newly developed deep learning-based algorithm (CS-AI) using convolutional neural networks to accelerate 2D MRI of the knee.
Healthy Volunteers Magnetic Resonance Imaging Knee Joint Imaging, Three-Dimensional Image Processing, Computer-Assisted Prospective Studies Humans Deep Learning
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Left ventricle segmentation combining deep learning and deformable models with anatomical constraints.

Journal of biomedical informatics Apr 21, 2023
Segmentation of the left ventricle is a key approach in Cardiac Magnetic Resonance Imaging for calculating biomarkers in diagnosis. Since there is substantial effort required from the expert, many automatic segmentation methods have been proposed, in...
Heart Heart Ventricles Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning
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Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Journal of magnetic resonance imaging : JMRI Apr 20, 2023
BACKGROUND: Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeutic predictor of hepatocellular carcinoma (HCC). However, noninvasive evaluation of VETC remains challenging.
Humans Prognosis Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Retrospective Studies Reproducibility of Results Magnetic Resonance Imaging Bayes Theorem
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Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.

NeuroImage Apr 20, 2023
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding ...
Magnetic Resonance Imaging Benchmarking Humans Reproducibility of Results Deep Learning Brain
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Accelerated submillimeter wave-encoded magnetic resonance imaging via deep untrained neural network.

Medical physics Apr 19, 2023
BACKGROUND: Wave gradient encoding can adequately utilize coil sensitivity profiles to facilitate higher accelerations in parallel magnetic resonance imaging (pMRI). However, there are limitations in mainstream pMRI and a few deep learning (DL) metho...
Algorithms Brain Humans Magnetic Resonance Imaging Neural Networks, Computer Image Processing, Computer-Assisted Motion
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Use of a deep learning algorithm for non-mass enhancement on breast MRI: comparison with radiologists' interpretations at various levels.

Japanese journal of radiology Apr 18, 2023
PURPOSE: To evaluate the diagnostic performance of deep learning using the Residual Networks 50 (ResNet50) neural network constructed from different segmentations for distinguishing malignant and benign non-mass enhancement (NME) on breast magnetic r...
Retrospective Studies Female Humans Neural Networks, Computer Magnetic Resonance Imaging Radiologists Breast Breast Neoplasms Deep Learning
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Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets.

NeuroImage. Clinical Apr 17, 2023
INTRODUCTION: Parkinson's disease (PD) is a severe neurodegenerative disease that affects millions of people. Early diagnosis is important to facilitate prompt interventions to slow down disease progression. However, accurate PD diagnosis can be chal...
Magnetic Resonance Imaging Parkinson Disease Humans Prospective Studies Artificial Intelligence Male Female Neurodegenerative Diseases Deep Learning
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