Cargando…

Diffusion in hierarchical systems: A simulation study in models of healthy and diseased muscle tissue

PURPOSE: To investigate the sensitivity of diffusion‐MR signal to microstructural change in muscle tissue associated with pathology, and recommend optimal acquisition parameters. METHODS: We employ Monte‐Carlo simulation of diffusing spins in hierarchical tissue to generate synthetic diffusion‐weigh...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hall, Matt G., Clark, Chris A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2016
Materias:	Full Papers—Computer Processing and Modeling
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6093262/ https://www.ncbi.nlm.nih.gov/pubmed/27667781 http://dx.doi.org/10.1002/mrm.26469

Ejemplares similares

Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
por: Clayden, Jonathan D., et al.
Publicado: (2015)

A diffusion model‐free framework with echo time dependence for free‐water elimination and brain tissue microstructure characterization
por: Molina‐Romero, Miguel, et al.
Publicado: (2018)

Simultaneous magnetic resonance diffusion and pseudo‐diffusion tensor imaging
por: Mozumder, Meghdoot, et al.
Publicado: (2017)

Placenta microstructure and microcirculation imaging with diffusion MRI
por: Slator, Paddy J., et al.
Publicado: (2017)

Evaluation of non‐Gaussian diffusion in cardiac MRI
por: McClymont, Darryl, et al.
Publicado: (2016)

Optimization of b‐value schemes for estimation of the diffusion coefficient and the perfusion fraction with segmented intravoxel incoherent motion model fitting
por: Jalnefjord, Oscar, et al.
Publicado: (2019)

Toward more robust and reproducible diffusion kurtosis imaging
por: Henriques, Rafael N., et al.
Publicado: (2021)

Novel insights into in‐vivo diffusion tensor cardiovascular magnetic resonance using computational modelling and a histology‐based virtual microstructure
por: Rose, Jan N., et al.
Publicado: (2018)

Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA
por: Mozumder, Meghdoot, et al.
Publicado: (2019)

Apparent propagator anisotropy from single‐shell diffusion MRI acquisitions
por: Aja‐Fernández, Santiago, et al.
Publicado: (2020)

Diffusion kurtosis imaging with free water elimination: A bayesian estimation approach
por: Collier, Quinten, et al.
Publicado: (2018)

Comparison of linear and nonlinear implementation of the compartmental tissue uptake model for dynamic contrast‐enhanced MRI
por: Kallehauge, Jesper F., et al.
Publicado: (2016)

Evaluating corrections for Eddy‐currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking
por: Irfanoglu, M. Okan, et al.
Publicado: (2018)

A ranking of diffusion MRI compartment models with in vivo human brain data
por: Ferizi, Uran, et al.
Publicado: (2014)

QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures
por: Marques, José P., et al.
Publicado: (2021)

Deep learning‐based reconstruction of in vivo pelvis conductivity with a 3D patch‐based convolutional neural network trained on simulated MR data
por: Gavazzi, Soraya, et al.
Publicado: (2020)

Extended phase graph formalism for systems with magnetization transfer and exchange
por: Malik, Shaihan J., et al.
Publicado: (2017)

Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
por: Sbrizzi, Alessandro, et al.
Publicado: (2016)

Rapid T(1) quantification from high resolution 3D data with model‐based reconstruction
por: Maier, Oliver, et al.
Publicado: (2018)

Magnitude‐intrinsic water–fat ambiguity can be resolved with multipeak fat modeling and a multipoint search method
por: Triay Bagur, Alexandre, et al.
Publicado: (2019)

A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners
por: Rudrapatna, Umesh, et al.
Publicado: (2020)

Fast Fourier‐based simulation of off‐resonance artifacts in steady‐state gradient echo MRI applied to metal object localization
por: Zijlstra, Frank, et al.
Publicado: (2016)

Influence of Spatial Resolution on the Accuracy of Quantitative Myocardial Perfusion in First Pass Stress Perfusion CMR
por: Zarinabad, Niloufar, et al.
Publicado: (2015)

Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images
por: Campbell‐Washburn, Adrienne E., et al.
Publicado: (2015)

Inter‐station intensity standardization for whole‐body MR data
por: Dzyubachyk, Oleh, et al.
Publicado: (2016)

Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T (1)H‐MR spectroscopy—A multi‐center study
por: Zarinabad, Niloufar, et al.
Publicado: (2017)

Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study
por: Aizenberg, Evgeni, et al.
Publicado: (2017)

Trajectory optimized NUFFT: Faster non‐Cartesian MRI reconstruction through prior knowledge and parallel architectures
por: Smith, David S., et al.
Publicado: (2018)

Accelerating compressed sensing in parallel imaging reconstructions using an efficient circulant preconditioner for cartesian trajectories
por: Koolstra, Kirsten, et al.
Publicado: (2018)

Multi‐modal synergistic PET and MR reconstruction using mutually weighted quadratic priors
por: Mehranian, Abolfazl, et al.
Publicado: (2018)

Improved repeatability of dynamic contrast‐enhanced MRI using the complex MRI signal to derive arterial input functions: a test‐retest study in prostate cancer patients
por: Klawer, Edzo M.E., et al.
Publicado: (2019)

A new analysis approach for T(2) relaxometry myelin water quantification: Orthogonal Matching Pursuit
por: Drenthen, Gerhard S., et al.
Publicado: (2018)

Reducing distortions in echo‐planar breast imaging at ultrahigh field with high‐resolution off‐resonance maps
por: van Rijssel, Michael J., et al.
Publicado: (2019)

Separation of water and fat signal in whole‐body gradient echo scans using convolutional neural networks
por: Andersson, Jonathan, et al.
Publicado: (2019)

Automated mitral valve vortex ring extraction from 4D‐flow MRI
por: Kräuter, Corina, et al.
Publicado: (2020)

Conditional safety margins for less conservative peak local SAR assessment: A probabilistic approach
por: Meliadò, Ettore Flavio, et al.
Publicado: (2020)

Fast T (2) mapping using multi‐echo spin‐echo MRI: A linear order approach
por: Fatemi, Yaghoub, et al.
Publicado: (2020)

Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T
por: van Rijssel, Michael J., et al.
Publicado: (2019)

Quantification of cerebral perfusion and cerebrovascular reserve using Turbo‐QUASAR arterial spin labeling MRI
por: Zhao, Moss Y., et al.
Publicado: (2019)

A deep learning method for image‐based subject‐specific local SAR assessment
por: Meliadò, E.F., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_jiv174n5k6eeflajq114p248f3