Optimal experimental design and estimation for q‐space trajectory imaging-Reference-Cited by-同舟云学术

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Optimal experimental design and estimation for q‐space trajectory imaging

Published:2022-12-23 Issue:4 Volume:44 Page:1793-1809
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Morez Jan¹²^ORCID,Szczepankiewicz Filip³^ORCID,den Dekker Arnold J.¹²^ORCID,Vanhevel Floris⁴,Sijbers Jan¹²^ORCID,Jeurissen Ben¹²⁵^ORCID

Affiliation:

1. imec‐Vision Lab, Department of Physics University of Antwerp Antwerp Belgium

2. μNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium

3. Department of Diagnostic Radiology, Clinical Sciences Lund Lund University Lund Sweden

4. Department of Radiology University Hospital Antwerp Antwerp Belgium

5. Lab for Equilibrium Investigations and Aerospace, Department of Physics University of Antwerp Antwerp Belgium

Funder

European Space Agency

Fonds Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26175

Reference49 articles.

1. A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features

2. Correlation Tensor MRI deciphers underlying kurtosis sources in stroke

3. Disentangling white-matter damage from physiological fibre orientation dispersion in multiple sclerosis

4. Rapid microscopic fractional anisotropy imaging via an optimized linear regression formulation

5. MR diffusion tensor spectroscopy and imaging

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1. Robust frequency-dependent diffusional kurtosis computation using an efficient direction scheme, axisymmetric modelling, and spatial regularization;Imaging Neuroscience;2024-01

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