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Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains
TLDR
Three quantitative MRI methods for characterizing white matter (WM) microstructural properties are reviewed, all of which measure complementary aspects of how water interacts with the tissue environment.
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Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
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…
View on Wolters Kluwer
Independent estimation of T*2 for water and fat for improved accuracy of fat quantification
TLDR
Improved quantification of fat is demonstrated, with independent estimation of T*2 for water and fat using phantom experiments, and the tradeoffs in algorithm stability and accuracy between multiexponential and single exponential techniques are discussed.
View on Wiley
Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model
TLDR
MRiLab combines realistic tissue modeling with numerical virtualization of an MRI system and scanning experiment to enable assessment of a broad range of MRI approaches including advanced quantitative MRI methods inferring microstructure on a sub-voxel level.
View on IEEE
Simultaneous variable flip angle–actual flip angle imaging method for improved accuracy and precision of three‐dimensional T1 and B1 measurements
TLDR
The variable FA–actual FA imaging method will increase the accuracy and clinical feasibility of many quantitative MRI methods requiring T1/B1 mapping such as dynamic contrast enhanced perfusion and quantitative magnetization transfer imaging.
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Improved least squares MR image reconstruction using estimates of k‐Space data consistency
TLDR
A new approach to reconstruct data that has been corrupted by unfavorable magnetization evolution is described, using a weighted least squares fashion using all available data and a measure of consistency determined from the data itself.
View on Wiley
On optimality of parallel MRI reconstruction in k‐space
  • A. Samsonov
  • Computer Science
    Magnetic resonance in medicine
  • 1 January 2008
TLDR
The design of optimized reconstruction kernels, the effect of regularization on image error, and the accuracy of different k‐space–based parallel MRI methods are studied; a total error metric is introduced for validation of the reconstruction kernel and choice ofregularization parameters.
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Evaluation of optimal density weighting for regridding.
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Fast whole-brain three-dimensional macromolecular proton fraction mapping in multiple sclerosis.
TLDR
MPF macromolecular proton fraction mapping enables quantitative assessment of demyelination in normal-appearing brain tissues and shows primary clinical relevance of GM gray matter damage in MS multiple sclerosis.
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Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup
View on Elsevier
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