- Home
- Publications
- Publication Search
- Publication Details
Title
Integrated and efficient diffusion-relaxometry using ZEBRA
Authors
Keywords
-
Journal
Scientific Reports
Volume 8, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2018-10-05
DOI
10.1038/s41598-018-33463-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On modeling
- (2018) Dmitry S. Novikov et al. MAGNETIC RESONANCE IN MEDICINE
- Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI
- (2018) Dmitry S. Novikov et al. NEUROIMAGE
- Multidimensional correlation of nuclear relaxation rates and diffusion tensors for model-free investigations of heterogeneous anisotropic porous materials
- (2018) João P. de Almeida Martins et al. Scientific Reports
- Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation
- (2017) Rui Pedro A.G. Teixeira et al. MAGNETIC RESONANCE IN MEDICINE
- Diffusion-relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure
- (2017) Daeun Kim et al. MAGNETIC RESONANCE IN MEDICINE
- TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T 2 relaxation times
- (2017) Jelle Veraart et al. NEUROIMAGE
- Disentangling micro from mesostructure by diffusion MRI: A Bayesian approach
- (2017) Marco Reisert et al. NEUROIMAGE
- Magnetic resonance microdynamic imaging reveals distinct tissue microenvironments
- (2017) Dan Benjamini et al. NEUROIMAGE
- Effects of magnetization transfer on T 1 contrast in human brain white matter
- (2016) Peter van Gelderen et al. NEUROIMAGE
- T 1 relaxometry of crossing fibres in the human brain
- (2016) Silvia De Santis et al. NEUROIMAGE
- Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
- (2016) Jesper L. R Andersson et al. NEUROIMAGE
- Resolving relaxometry and diffusion properties within the same voxel in the presence of crossing fibres by combining inversion recovery and diffusion-weighted acquisitions
- (2015) Silvia De Santis et al. MAGNETIC RESONANCE IN MEDICINE
- Initial evaluation of hepaticT1relaxation time as an imaging marker of liver disease associated with autosomal recessive polycystic kidney disease (ARPKD)
- (2015) Ying Gao et al. NMR IN BIOMEDICINE
- NMR diffusion and relaxation correlation methods: New insights in heterogeneous materials
- (2013) Diana Bernin et al. CURRENT OPINION IN COLLOID & INTERFACE SCIENCE
- Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing
- (2013) S. De Santis et al. MAGNETIC RESONANCE IN MEDICINE
- Magnetic resonance fingerprinting
- (2013) Dan Ma et al. NATURE
- Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging
- (2013) Aviv Mezer et al. NATURE MEDICINE
- Using high-resolution quantitative mapping of R1 as an index of cortical myelination
- (2013) Antoine Lutti et al. NEUROIMAGE
- Quantitative multi-parameter mapping of R1, PD*, MT, and R2* at 3T: a multi-center validation
- (2013) Nikolaus Weiskopf et al. Frontiers in Neuroscience
- Visualization of Cortical Lamination Patterns with Magnetic Resonance Imaging
- (2011) Daniel Barazany et al. CEREBRAL CORTEX
- UltrashortT2*relaxometry for quantitation of highly concentrated superparamagnetic iron oxide (SPIO) nanoparticle labeled cells
- (2009) Wei Liu et al. MAGNETIC RESONANCE IN MEDICINE
- MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field
- (2009) José P. Marques et al. NEUROIMAGE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started