Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

N Weiskopf, LJ Edwards, G Helms… - Nature Reviews …, 2021 - nature.com
Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

On modeling

DS Novikov, VG Kiselev… - Magnetic resonance in …, 2018 - Wiley Online Library
Mapping tissue microstructure with MRI holds great promise as a noninvasive window into
tissue organization at the cellular level. Having originated within the realm of diffusion NMR …

Magnetic resonance imaging: principles and techniques: lessons for clinicians

VPB Grover, JM Tognarelli, MME Crossey… - Journal of clinical and …, 2015 - Elsevier
The development of magnetic resonance imaging (MRI) for use in medical investigation has
provided a huge forward leap in the field of diagnosis, particularly with avoidance of …

Machine learning approach to identify stroke within 4.5 hours

H Lee, EJ Lee, S Ham, HB Lee, JS Lee, SU Kwon… - Stroke, 2020 - Am Heart Assoc
Background and Purpose—We aimed to investigate the ability of machine learning (ML)
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion …

[HTML][HTML] Diffusion tensor imaging and beyond

JD Tournier, S Mori, A Leemans - Magnetic resonance in medicine, 2011 - ncbi.nlm.nih.gov
The diffusion of water molecules inside organic tissues is often anisotropic (1). Namely, if
there are aligned structures in the tissue, the apparent diffusion coefficient (ADC) of water …

[图书][B] Principles of neural science

ER Kandel, JH Schwartz, TM Jessell, S Siegelbaum… - 2000 - academia.edu
1 Jordan University of Science and Technology Faculty of Engineering Biomedical Engineering
Department Course Catalog Text Book Page 1 1 Jordan University of Science and Technology …

[HTML][HTML] Challenges for biophysical modeling of microstructure

IO Jelescu, M Palombo, F Bagnato… - Journal of Neuroscience …, 2020 - Elsevier
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25
years. In this review, we dwell on the various challenges along the journey of bringing a …

Diffusion tensor imaging: concepts and applications

D Le Bihan, JF Mangin, C Poupon… - Journal of Magnetic …, 2001 - Wiley Online Library
The success of diffusion magnetic resonance imaging (MRI) is deeply rooted in the powerful
concept that during their random, diffusion‐driven displacements molecules probe tissue …

DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4· 5 h of symptom onset (PRE-FLAIR): a multicentre observational study

G Thomalla, B Cheng, M Ebinger, Q Hao… - The Lancet …, 2011 - thelancet.com
Background Many patients with stroke are precluded from thrombolysis treatment because
the time from onset of their symptoms is unknown. We aimed to test whether a mismatch in …

Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure

D Le Bihan - Radiology, 2013 - pubs.rsna.org
Apparent Diffusion Coefficient and Beyond: What Diffusion MR Imaging Can Tell Us about
Tissue Structure | Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu …