Compressed sensing MRI: a review of the clinical literature
MRI is one of the most dynamic and safe imaging techniques available in the clinic today.
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
fastMRI: An open dataset and benchmarks for accelerated MRI
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the
potential to reduce medical costs, minimize stress to patients and make MRI possible in …
potential to reduce medical costs, minimize stress to patients and make MRI possible in …
Interobserver variability in quality assessment of magnetic resonance images
Background The perceptual quality of magnetic resonance (MR) images influences
diagnosis and may compromise the treatment. The purpose of this study was to evaluate …
diagnosis and may compromise the treatment. The purpose of this study was to evaluate …
Super‐resolution reconstruction in frequency, image, and wavelet domains to reduce through‐plane partial voluming in MRI
Purpose: To compare and evaluate the use of super‐resolution reconstruction (SRR), in
frequency, image, and wavelet domains, to reduce through‐plane partial voluming effects in …
frequency, image, and wavelet domains, to reduce through‐plane partial voluming effects in …
Influence of acquisition time on MR image quality estimated with nonparametric measures based on texture features
Correlation of parametrized image texture features (ITF) analyses conducted in different
regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The aim …
regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The aim …
Using deep feature distances for evaluating the perceptual quality of MR image reconstructions
Purpose Commonly used MR image quality (IQ) metrics have poor concordance with
radiologist‐perceived diagnostic IQ. Here, we develop and explore deep feature distances …
radiologist‐perceived diagnostic IQ. Here, we develop and explore deep feature distances …
No‐reference quality measure in brain MRI images using binary operations, texture and set analysis
The authors propose a new application‐specific, post‐acquisition quality evaluation method
for brain magnetic resonance imaging (MRI) images. The domain of a MRI slice is regarded …
for brain magnetic resonance imaging (MRI) images. The domain of a MRI slice is regarded …
An Anatomical Template for the Normalization of Medical Images of Adult Human Hands
During medical image analysis, it is often useful to align (or 'normalize') a given image of a
given body part to a representative standard (or 'template') of that body part. The impact that …
given body part to a representative standard (or 'template') of that body part. The impact that …
Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning
Object Deep learning has shown great promise for fast reconstruction of accelerated MRI
acquisitions by learning from large amounts of raw data. However, raw data is not always …
acquisitions by learning from large amounts of raw data. However, raw data is not always …
Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images
We describe a postacquisition, attribute-based quality assessment method for brain
magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to …
magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to …