Image formation in diffusion MRI: a review of recent technical developments
Diffusion magnetic resonance imaging (MRI) is a standard imaging tool in clinical neurology,
and is becoming increasingly important for neuroscience studies due to its ability to depict …
and is becoming increasingly important for neuroscience studies due to its ability to depict …
Systematic review of reconstruction techniques for accelerated quantitative MRI
Purpose To systematically review the techniques that address undersampling artifacts in
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
Joint MR-PET reconstruction using a multi-channel image regularizer
While current state of the art MR-PET scanners enable simultaneous MR and PET
measurements, the acquired data sets are still usually reconstructed separately. We propose …
measurements, the acquired data sets are still usually reconstructed separately. We propose …
Whole mouse brain structural connectomics using magnetic resonance histology
Diffusion tensor histology holds great promise for quantitative characterization of structural
connectivity in mouse models of neurological and psychiatric conditions. There has been …
connectivity in mouse models of neurological and psychiatric conditions. There has been …
SuperDTI: Ultrafast DTI and fiber tractography with deep learning
Purpose To develop a deep learning–based reconstruction framework for ultrafast and
robust diffusion tensor imaging and fiber tractography. Methods SuperDTI was developed to …
robust diffusion tensor imaging and fiber tractography. Methods SuperDTI was developed to …
Stochastic deep compressive sensing for the reconstruction of diffusion tensor cardiac MRI
Understanding the structure of the heart at the microscopic scale of cardiomyocytes and their
aggregates provides new insights into the mechanisms of heart disease and enables the …
aggregates provides new insights into the mechanisms of heart disease and enables the …
Accelerated exponential parameterization of T2 relaxation with model‐driven low rank and sparsity priors (MORASA)
Purpose This work is to develop a novel image reconstruction method from highly
undersampled multichannel acquisition to reduce the scan time of exponential …
undersampled multichannel acquisition to reduce the scan time of exponential …
Parallel imaging and compressed sensing combined framework for accelerating high‐resolution diffusion tensor imaging using inter‐image correlation
Purpose Increasing acquisition efficiency is always a challenge in high‐resolution diffusion
tensor imaging (DTI), which has low signal‐to‐noise ratio and is sensitive to reconstruction …
tensor imaging (DTI), which has low signal‐to‐noise ratio and is sensitive to reconstruction …
Highly accelerated, model‐free diffusion tensor MRI reconstruction using neural networks
E Aliotta, H Nourzadeh, J Sanders, D Muller… - Medical …, 2019 - Wiley Online Library
Purpose The purpose of this study was to develop a neural network that accurately performs
diffusion tensor imaging (DTI) reconstruction from highly accelerated scans. Materials and …
diffusion tensor imaging (DTI) reconstruction from highly accelerated scans. Materials and …
Probing neural tissues at small scales: Recent progress of oscillating gradient spin echo (OGSE) neuroimaging in humans
J Xu - Journal of neuroscience methods, 2021 - Elsevier
The detection sensitivity of diffusion MRI (dMRI) is dependent on diffusion times. A shorter
diffusion time can increase the sensitivity to smaller length scales. However, the …
diffusion time can increase the sensitivity to smaller length scales. However, the …