AIMC Topic: Diffusion Magnetic Resonance Imaging

Clear Filters Showing 231 to 240 of 338 articles

T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

European radiology Sep 2, 2020
OBJECTIVES: To explore the associations between T1 and T2 magnetic resonance fingerprinting (MRF) measurements and corresponding tissue compartment ratios (TCRs) on whole mount histopathology of prostate cancer (PCa) and prostatitis.
Humans Retrospective Studies Male Epithelium Diffusion Magnetic Resonance Imaging Prostatitis Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms
View on PubMed DOI

Extracting diffusion tensor fractional anisotropy and mean diffusivity from 3-direction DWI scans using deep learning.

Magnetic resonance in medicine Aug 18, 2020
PURPOSE: To develop and evaluate machine-learning methods that reconstruct fractional anisotropy (FA) values and mean diffusivities (MD) from 3-direction diffusion MRI (dMRI) acquisitions.
Diffusion Tensor Imaging Anisotropy Diffusion Magnetic Resonance Imaging Humans Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols.

Magnetic resonance imaging Aug 18, 2020
Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since both varying hardware and software across different centers cause unavoidable data heterogeneity across centers, its impact on reliability in study outc...
White Matter Male Anisotropy Humans Deep Learning Diffusion Magnetic Resonance Imaging Female Image Processing, Computer-Assisted Reproducibility of Results
View on PubMed DOI

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.

European radiology Jul 23, 2020
OBJECTIVES: To evaluate short-term test-retest repeatability of a deep learning architecture (U-Net) in slice- and lesion-level detection and segmentation of clinically significant prostate cancer (csPCa: Gleason grade group > 1) using diffusion-weig...
Prostatic Neoplasms Diffusion Magnetic Resonance Imaging Reproducibility of Results Male Humans Deep Learning Neural Networks, Computer
View on PubMed DOI

Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology.

Clinical cancer research : an official journal of the American Association for Cancer Research Jul 21, 2020
PURPOSE: Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment of tumor histopathology for improved diagnosis, surgical planning, an...
Diffusion Magnetic Resonance Imaging Middle Aged Glioblastoma Aged Humans Machine Learning Adult Algorithms Male Female
View on PubMed DOI

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

European radiology Jul 16, 2020
OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus...
Biopsy Prostatectomy Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Prostate Cluster Analysis Principal Component Analysis Aged, 80 and over Adult Male Middle Aged Treatment Outcome Support Vector Machine Retrospective Studies Humans Reproducibility of Results Machine Learning Aged Algorithms
View on PubMed DOI

Distortion correction of single-shot EPI enabled by deep-learning.

NeuroImage Jul 16, 2020
PURPOSE: A distortion correction method for single-shot EPI was proposed. Point-spread-function encoded EPI (PSF-EPI) images were used as the references to correct traditional EPI images based on deep neural network.
Adult Deep Learning Models, Theoretical Neuroimaging Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Humans Brain
View on PubMed DOI

Training a neural network for Gibbs and noise removal in diffusion MRI.

Magnetic resonance in medicine Jul 14, 2020
PURPOSE: To develop and evaluate a neural network-based method for Gibbs artifact and noise removal.
Magnetic Resonance Imaging Artifacts Diffusion Magnetic Resonance Imaging Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.

NeuroImage Jul 13, 2020
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the ability to aggregate dMRI data and derived measures. Computational al...
Image Processing, Computer-Assisted Regression Analysis Neuroimaging Brain Adult Deep Learning Diffusion Magnetic Resonance Imaging Humans Algorithms
View on PubMed DOI

Denoising of multi b-value diffusion-weighted MR images using deep image prior.

Physics in medicine and biology May 11, 2020
The clinical value of multiple b-value diffusion-weighted (DW) magnetic resonance imaging (MRI) has been shown in many studies. However, DW-MRI often suffers from low signal-to-noise ratio, especially at high b-values. To address this limitation, we ...
Principal Component Analysis Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Humans Reproducibility of Results Phantoms, Imaging Algorithms Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals