Quantitative susceptibility mapping: technical considerations and clinical applications in neuroimaging

S Vinayagamani, R Sheelakumari… - Journal of Magnetic …, 2021 - Wiley Online Library
Quantitative susceptibility mapping (QSM) is a novel magnetic resonance imaging (MRI)
technique for quantifying the spatial distribution of magnetic susceptibility within an object or …

The Python ARM Radar Toolkit (Py-ART), a library for working with weather radar data in the Python programming language

JJ Helmus, SM Collis - Journal of open research software, 2016 - osti.gov
The Python ARM Radar Toolkit is a package for reading, visualizing, correcting and
analysing data from weather radars. Development began to meet the needs of the …

Susceptibility tensor imaging (STI) of the brain

W Li, C Liu, TQ Duong, PCM van Zijl… - NMR in Biomedicine, 2017 - Wiley Online Library
Susceptibility tensor imaging (STI) is a recently developed MRI technique that allows
quantitative determination of orientation‐independent magnetic susceptibility parameters …

Integrated Laplacian‐based phase unwrapping and background phase removal for quantitative susceptibility mapping

W Li, AV Avram, B Wu, X Xiao, C Liu - NMR in Biomedicine, 2014 - Wiley Online Library
Quantitative susceptibility mapping (QSM) is a recently developed MRI technique that
provides a quantitative measure of tissue magnetic susceptibility. To compute tissue …

Fast and robust three-dimensional best path phase unwrapping algorithm

HS Abdul-Rahamn, MA Gdeisat, DR Burton, MJ Lalor… - Applied …, 2007 - opg.optica.org
What we believe to be a novel three-dimensional (3D) phase unwrapping algorithm is
proposed to unwrap 3D wrapped-phase volumes. It depends on a quality map to unwrap the …

[HTML][HTML] Multi-site harmonization of 7 tesla MRI neuroimaging protocols

WT Clarke, O Mougin, ID Driver, C Rua, AT Morgan… - Neuroimage, 2020 - Elsevier
Increasing numbers of 7 T (7 T) magnetic resonance imaging (MRI) scanners are in
research and clinical use. 7 T MRI can increase the scanning speed, spatial resolution and …

Learned proximal networks for quantitative susceptibility mapping

KW Lai, M Aggarwal, P van Zijl, X Li… - Medical Image Computing …, 2020 - Springer
Abstract Quantitative Susceptibility Mapping (QSM) estimates tissue magnetic susceptibility
distributions from Magnetic Resonance (MR) phase measurements by solving an ill-posed …

[图书][B] Phase estimation in optical interferometry

P Rastogi, E Hack - 2014 - books.google.com
Phase Estimation in Optical Interferometry covers the essentials of phase-stepping
algorithms used in interferometry and pseudointerferometric techniques. It presents the …

[HTML][HTML] A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine

C Zhang, D Karkalousos, PL Bazin, BF Coolen… - NeuroImage, 2022 - Elsevier
Quantitative MRI (qMRI) acquired at the ultra-high field of 7 Tesla has been used in
visualizing and analyzing subcortical structures. qMRI relies on the acquisition of multiple …

Effect of head motion on MRI B0 field distribution

J Liu, JA de Zwart, P van Gelderen… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To identify and characterize the sources of B0 field changes due to head motion, to
reduce motion sensitivity in human brain MRI. Methods B0 fields were measured in 5 …