AIMC Topic: Diffusion Magnetic Resonance Imaging

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Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.

Magnetic resonance imaging Aug 16, 2019
BACKGROUND AND PURPOSE: Advanced imaging analysis for the prediction of tumor biology and modelling of clinically relevant parameters using computed imaging features is part of the emerging field of radiomics research. Here we test the hypothesis tha...
Machine Learning Female Aged Sensitivity and Specificity Humans Area Under Curve Meningioma Meningeal Neoplasms Diffusion Magnetic Resonance Imaging Male Middle Aged ROC Curve Support Vector Machine
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Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Humans Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Kidney Image Interpretation, Computer-Assisted Adult Liver Least-Squares Analysis Pancreas Male Bayes Theorem Algorithms Motion Spleen Middle Aged Prospective Studies Deep Learning Computer Simulation Reproducibility of Results
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MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Magnetic resonance in medicine Aug 2, 2019
PURPOSE: To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs-ringing artifact.
Algorithms Brain Brain Neoplasms Signal-To-Noise Ratio Phantoms, Imaging Signal Processing, Computer-Assisted Connectome Image Processing, Computer-Assisted Knee Humans Diffusion Diffusion Magnetic Resonance Imaging Neural Networks, Computer Artifacts Machine Learning Neuroimaging
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Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.

International journal of radiation oncology, biology, physics Jul 22, 2019
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of great help in glioma management. This study aimed to create a highly accurate machine learning model to perform glioma grading.
Aged, 80 and over Anisotropy Diffusion Magnetic Resonance Imaging Young Adult Astrocytoma Adult Machine Learning Oligodendroglioma Brain Neoplasms Glioblastoma Adolescent Retrospective Studies Male Neoplasm Grading Humans Glioma Female Middle Aged Datasets as Topic Diagnosis, Differential Aged Diffusion Tensor Imaging
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Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Medical physics Jul 20, 2019
PURPOSE: To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN).
Image Processing, Computer-Assisted Neoplasm Grading Diffusion Magnetic Resonance Imaging Humans Neural Networks, Computer Female Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular
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Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.

Magnetic resonance imaging Jul 16, 2019
PURPOSE: Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-MRI signals as a function of diffusion sensitization are the lens thro...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Saimiri Humans Brain Reproducibility of Results Animals Image Processing, Computer-Assisted White Matter Connectome Deep Learning Imaging, Three-Dimensional
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Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.

Journal of magnetic resonance imaging : JMRI Jul 13, 2019
BACKGROUND: Diffusion-weighted imaging (DWI) in MRI plays an increasingly important role in diagnostic applications and developing imaging biomarkers. Automated whole-breast segmentation is an important yet challenging step for quantitative breast im...
Diffusion Magnetic Resonance Imaging Retrospective Studies Deep Learning Magnetic Resonance Imaging Breast Humans
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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

European radiology Jun 11, 2019
OBJECTIVE: The purpose of this study was: To test whether machine learning classifiers for transition zone (TZ) and peripheral zone (PZ) can correctly classify prostate tumors into those with/without a Gleason 4 component, and to compare the performa...
Biopsy Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Machine Learning Clinical Competence Retrospective Studies Prostatic Neoplasms Area Under Curve Sensitivity and Specificity Neoplasm Grading Male Radiologists Middle Aged
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Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.

AJNR. American journal of neuroradiology May 30, 2019
BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke studies relying on infarct volumes as an imaging phenotype or biomarker that require large numbers of subjects. This study investigated whether an ens...
Image Interpretation, Computer-Assisted Neuroimaging Diffusion Magnetic Resonance Imaging Male Humans Middle Aged Neural Networks, Computer Stroke Female Brain Ischemia Aged
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Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Stroke May 16, 2019
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods may not be accurate because ...
Cerebral Infarction Diffusion Magnetic Resonance Imaging Male Middle Aged Registries Neural Networks, Computer Humans Stroke Software Female Aged
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