Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging

Quantitative Susceptibility Mapping (QSM) and Susceptibility Weighted Imaging (SWI) are MRI techniques that measure and display differences in the magnetization that is induced in tissues, i.e. their magnetic susceptibility, when placed in the strong external magnetic field of an MRI system. SWI produces images in which the contrast is heavily weighted by the intrinsic tissue magnetic susceptibility. It has been applied in a wide range of clinical applications. QSM is a further advancement of this technique that requires sophisticated post-processing in order to provide quantitative maps of tissue susceptibility. This review explains the steps involved in both SWI and QSM as well as describing some of their uses in both clinical and research applications.

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Europium monoxide as a basis for creating a high-temperature spin injector in the semiconductor spintronics

Modern Electronic Materials ◽

10.3897/j.moem.6.54583 ◽

2020 ◽

Vol 6 (3) ◽

pp. 113-123

Author(s):

Arnold S. Borukhovich

Keyword(s):

Magnetic Field ◽

Solid Solution ◽

Composite Material ◽

High Temperature ◽

External Magnetic Field ◽

Room Temperature ◽

Spin Electronics ◽

Wide Range ◽

Semiconductor Spintronics ◽

Europium Monoxide

The results of the creation of a high-temperature spin injector based on EuO: Fe composite material are discussed. Their magnetic, electrical, structural and resonance parameters are given in a wide range of temperatures and an external magnetic field. A model calculation of the electronic spectrum of the solid solution Eu–Fe–O, responsible for the manifestation of the outstanding properties of the composite, is performed. The possibility of creating semiconductor spin electronics devices capable of operating at room temperature is shown.

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IC-P-145: EX-VIVO QUANTITATIVE SUSCEPTIBILITY MAPPING (QSM) IN A COMMUNITY COHORT REVEALS LINK BETWEEN MAGNETIC SUSCEPTIBILITY AND ALZHEIMER'S PATHOLOGY

Alzheimer s & Dementia ◽

10.1016/j.jalz.2014.05.151 ◽

2014 ◽

Vol 10 ◽

pp. P83-P84

Author(s):

Arnold Moya Evia ◽

Konstantinos Arfanakis ◽

David Bennett ◽

Julie Schneider ◽

Aikaterini Kotrotsou ◽

...

Keyword(s):

Magnetic Susceptibility ◽

Ex Vivo ◽

Susceptibility Mapping ◽

Quantitative Susceptibility Mapping ◽

Alzheimer’S Pathology

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Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping

Journal of Neuroradiology ◽

10.1016/j.neurad.2019.05.002 ◽

2020 ◽

Vol 47 (4) ◽

pp. 272-277 ◽

Cited By ~ 3

Author(s):

Shun Zhang ◽

Gloria Chia-Yi Chiang ◽

Jacquelyn Marion Knapp ◽

Christina M. Zecca ◽

Diana He ◽

...

Keyword(s):

Multiparametric Mri ◽

Susceptibility Mapping ◽

Susceptibility Weighted Imaging ◽

Quantitative Susceptibility Mapping

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Visualizing the lateral habenula using susceptibility weighted imaging and quantitative susceptibility mapping

Magnetic Resonance Imaging ◽

10.1016/j.mri.2019.09.005 ◽

2020 ◽

Vol 65 ◽

pp. 55-61 ◽

Cited By ~ 2

Author(s):

Naying He ◽

Sean K. Sethi ◽

Chencheng Zhang ◽

Yan Li ◽

Yongsheng Chen ◽

...

Keyword(s):

Susceptibility Mapping ◽

Susceptibility Weighted Imaging ◽

Quantitative Susceptibility Mapping ◽

Lateral Habenula

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Effect of respiratory hyperoxic challenge on magnetic susceptibility in human brain assessed by quantitative susceptibility mapping (QSM)

NMR in Biomedicine ◽

10.1002/nbm.3433 ◽

2015 ◽

Vol 28 (12) ◽

pp. 1688-1696 ◽

Cited By ~ 10

Author(s):

Pinar Senay Özbay ◽

Cristina Rossi ◽

Roman Kocian ◽

Manuel Redle ◽

Andreas Boss ◽

...

Keyword(s):

Magnetic Susceptibility ◽

Human Brain ◽

Susceptibility Mapping ◽

Quantitative Susceptibility Mapping

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Vortex guide under a Lorentz force

Aibi revista de investigación, administración e ingeniería ◽

10.15649/2346030x.666 ◽

2020 ◽

pp. 101-106

Author(s):

C. A. Aguirre ◽

Q. Martins ◽

Jose Barba

Keyword(s):

Magnetic Field ◽

Magnetic Susceptibility ◽

External Magnetic Field ◽

Lorentz Force ◽

Vortex State ◽

Cooper Pairs ◽

Magnetic Response ◽

External Current ◽

Critical Temperatures ◽

Ginzburg Landau

In the present work we studied the effect of the nature of the contacts, by which a weak external current is applied, in an anisotropic superconducting rectangle, on the magnetization, magnetic susceptibility, density of the Cooper pairs and (magnetic field for which the first vortices entry on the sample). The contacts are simulates by the parameter, and the anisotropy is present in sections with different critical temperatures modeling for function, both in the Ginzburg-Landau formalis. Also, the sample is embebbed in an external magnetic field . We established how the nature of the contacts and the presence of a weak Lorentz Force, influence the magnetic response and the vortex state of the sample.

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QSM Reconstruction Challenge 2.0–Part 1: A Realistic in silico Head Phantom for MRI data simulation and evaluation of susceptibility mapping procedures

10.1101/2020.09.29.316836 ◽

2020 ◽

Author(s):

José P. Marques ◽

Jakob Meineke ◽

Carlos Milovic ◽

Berkin Bilgic ◽

Kwok-Shing Chan ◽

...

Keyword(s):

In Silico ◽

Ground Truth ◽

Susceptibility Mapping ◽

Quantitative Mri ◽

Reconstruction Algorithms ◽

Imaging Data ◽

Post Processing ◽

Simulation Code ◽

Wide Range ◽

Echo Time

AbstractPurposeTo create a realistic in-silico head phantom for the second QSM Reconstruction Challenge and for future evaluations of processing algorithms for Quantitative Susceptibility Mapping (QSM).MethodsWe created a whole-head tissue property model by segmenting and post-processing high-resolution, multi-parametric MRI data acquired from a healthy volunteer. We simulated the steady-state magnetization using a Bloch simulator and mimicked a Cartesian sampling scheme through Fourier-based post-processing. We demonstrated some of the phantom’s properties, including the possibility of generating phase data that do not evolve linearly with echo time due to partial volume effects or complex distributions of frequency shifts within the voxel. Computer code for generating the phantom and performing the MR simulation was designed to facilitate flexible modifications of the model, such as the inclusion of pathologies, as well as the simulation of a wide range of acquisition protocols.ResultsThe brain-part of the phantom features realistic morphology combined with realistic spatial variations in relaxation and susceptibility values. Simulation code allows adjusting the following parameters and effects: repetition time and echo time, voxel size, background fields, and RF phase biases. Additionally, diffusion weighted imaging data of the phantom is provided allowing future investigations of tissue microstructure effects in phase and QSM algorithms.ConclusionThe presented phantom and computer programs are publicly available and may serve as a ground truth in future assessments of the faithfulness of quantitative MRI reconstruction algorithms.

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