[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI

DK Jones, DC Alexander, R Bowtell, M Cercignani… - NeuroImage, 2018 - Elsevier
The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …

[HTML][HTML] An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

JLR Andersson, SN Sotiropoulos - Neuroimage, 2016 - Elsevier
In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

Maxwell‐compensated design of asymmetric gradient waveforms for tensor‐valued diffusion encoding

F Szczepankiewicz, CF Westin… - Magnetic resonance in …, 2019 - Wiley Online Library
Purpose Diffusion encoding with asymmetric gradient waveforms is appealing because the
asymmetry provides superior efficiency. However, concomitant gradients may cause a …

[BOK][B] Magnetic resonance elastography: physical background and medical applications

S Hirsch, J Braun, I Sack - 2017 - books.google.com
Magnetic resonance elastography (MRE) is a medical imaging technique that combines
magnetic resonance imaging (MRI) with mechanical vibrations to generate maps of …

Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion–compensated diffusion‐weighted MRI

E Aliotta, HH Wu, DB Ennis - Magnetic resonance in medicine, 2017 - Wiley Online Library
Purpose To evaluate convex optimized diffusion encoding (CODE) gradient waveforms for
minimum echo time and bulk motion–compensated diffusion‐weighted imaging (DWI) …

[HTML][HTML] Gradient waveform design for tensor-valued encoding in diffusion MRI

F Szczepankiewicz, CF Westin, M Nilsson - Journal of Neuroscience …, 2021 - Elsevier
Diffusion encoding along multiple spatial directions per signal acquisition can be described
in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks …

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems

F Szczepankiewicz, J Sjölund, F Ståhlberg, J Lätt… - PloS one, 2019 - journals.plos.org
Microstructure imaging techniques based on tensor-valued diffusion encoding have gained
popularity within the MRI research community. Unlike conventional diffusion encoding …

Peripheral nerve diffusion tensor imaging: overview, pitfalls, and future directions

T Jeon, MM Fung, KM Koch, ET Tan… - Journal of Magnetic …, 2018 - Wiley Online Library
Diffusion tensor imaging (DTI) is a noninvasive magnetic resonance imaging (MRI)
technique that measures the extent of restricted water diffusion and anisotropy in biological …

Time‐efficient and flexible design of optimized multishell HARDI diffusion

J Hutter, JD Tournier, AN Price… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose Advanced diffusion magnetic resonance imaging benefits from collecting as much
data as is feasible but is highly sensitive to subject motion and the risk of data loss increases …