AIMC Journal:
Magnetic resonance in medicine

Showing 211 to 217 of 217 articles

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.

Magnetic resonance in medicine Jul 21, 2017
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilag...
Algorithms Reproducibility of Results Imaging, Three-Dimensional Humans Neural Networks, Computer Software Cartilage Bone and Bones Knee Image Processing, Computer-Assisted Magnetic Resonance Imaging Pattern Recognition, Automated
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Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study.

Magnetic resonance in medicine May 14, 2017
PURPOSE: The oxygen extraction fraction (OEF) is an important biomarker for tissue-viability. MRI enables noninvasive estimation of the OEF based on the blood-oxygenation-level-dependent (BOLD) effect. Quantitative OEF-mapping is commonly applied usi...
Humans Neural Networks, Computer Machine Learning Male Image Processing, Computer-Assisted Young Adult Magnetic Resonance Imaging Adult Brain Neoplasms Oxygen Brain Least-Squares Analysis Female Image Interpretation, Computer-Assisted Aged
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Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.

Magnetic resonance in medicine Jul 12, 2016
PURPOSE: Classification of pediatric brain tumors from H-magnetic resonance spectroscopy (MRS) can aid diagnosis and management of brain tumors. However, varied incidence of the different tumor types leads to imbalanced class sizes and introduces di...
Brain Neoplasms Male Middle Aged Reproducibility of Results Sensitivity and Specificity Biomarkers, Tumor Diagnosis, Computer-Assisted Pattern Recognition, Automated Proton Magnetic Resonance Spectroscopy Humans Machine Learning Algorithms Female
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Exploring multifractal-based features for mild Alzheimer's disease classification.

Magnetic resonance in medicine Jul 20, 2015
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We aim to address two issues: (I) if and what multifractal features are sufficiently discriminative to...
Humans Algorithms Brain Female Reproducibility of Results Aged Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Support Vector Machine Sensitivity and Specificity Image Enhancement Magnetic Resonance Imaging Male Diagnosis, Differential Fractals Severity of Illness Index Subtraction Technique
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Three-dimensional dictionary-learning reconstruction of (23)Na MRI data.

Magnetic resonance in medicine May 19, 2015
PURPOSE: To reduce noise and artifacts in (23)Na MRI with a Compressed Sensing reconstruction and a learned dictionary as sparsifying transform.
Magnetic Resonance Imaging Phantoms, Imaging Sodium Isotopes Adult Male Brain Imaging, Three-Dimensional Female Humans Young Adult Machine Learning Algorithms
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Classification of sodium MRI data of cartilage using machine learning.

Magnetic resonance in medicine Nov 3, 2014
PURPOSE: To assess the possible utility of machine learning for classifying subjects with and subjects without osteoarthritis using sodium magnetic resonance imaging data. Theory: Support vector machine, k-nearest neighbors, naïve Bayes, discriminant...
Cartilage, Articular Knee Magnetic Resonance Imaging Osteoarthritis Humans Sodium Machine Learning Algorithms
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PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.

Magnetic resonance in medicine Feb 14, 2014
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
Reproducibility of Results Image Enhancement Image Interpretation, Computer-Assisted Sensitivity and Specificity Systems Integration Algorithms Magnetic Resonance Imaging Spinal Cord Subtraction Technique Brain Models, Statistical Pattern Recognition, Automated Computer Simulation Principal Component Analysis Humans Data Interpretation, Statistical Machine Learning
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