Results 91 to 100 of about 4,917,448 (190)

Ultrashort Echo Time Quantitative Susceptibility Source Separation in Musculoskeletal System: A Feasibility Study

Journal of Imaging
This study aims to demonstrate the feasibility of ultrashort echo time (UTE)-based susceptibility source separation for musculoskeletal (MSK) imaging, enabling discrimination between diamagnetic and paramagnetic tissue components, with a particular focus
Sam Sedaghat, Jin Il Park, Eddie Fu, Annette von Drygalski, Yajun Ma, Eric Y. Chang, Jiang Du, Lorenzo Nardo, Hyungseok Jang   +8 more
doaj   +1 more source

A Realistic In Silico Brain Phantom for Quantifying Susceptibility Anisotropy‐Induced Error in Susceptibility Separation

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2412-2425, November 2026.
ABSTRACT Purpose To create a realistic in silico brain phantom for positive and negative magnetic susceptibility that incorporates susceptibility anisotropy, enabling the evaluation of how susceptibility anisotropy influences susceptibility separation algorithm performance.
Daniel Ridani, Benjamin De Leener, Eva Alonso‐Ortiz   +2 more
wiley   +1 more source

Ex-vivo quantitative susceptibility mapping of human brain hemispheres.

PLoS ONE, 2017
Ex-vivo brain quantitative susceptibility mapping (QSM) allows investigation of brain characteristics at essentially the same point in time as histopathologic examination, and therefore has the potential to become an important tool for determining the ...
Arnold M Evia, Aikaterini Kotrotsou, Ashish A Tamhane, Robert J Dawe, Alifiya Kapasi, Sue E Leurgans, Julie A Schneider, David A Bennett, Konstantinos Arfanakis   +8 more
doaj   +1 more source

MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy

Radiology Research and Practice, 2018
The local magnetic field inside and around an object in a magnetic resonance imaging unit depends on the magnetic susceptibility of the object being magnetized, in combination with its geometry/orientation.
Emma Olsson, Ronnie Wirestam, Emelie Lind   +2 more
doaj   +1 more source

Quantitative susceptibility and T1ρ mapping of knee articular cartilage at 3T

Osteoarthritis and Cartilage Open
T1ρ and Quantitative Susceptibility Mapping (QSM) are evolving as substrates for quantifying the progressive nature of knee osteoarthritis. Objective: To evaluate the effects of spin lock time combinations on depth-dependent T1ρ estimation, in adjunct to
Allen A. Champagne, Taylor M. Zuleger, Daniel R. Smith, Alexis B. Slutsky-Ganesh, Shayla M. Warren, Mario E. Ramirez, Lexie M. Sengkhammee, Sagar Mandava, Hongjiang Wei, Davide D. Bardana, Joseph D. Lamplot, Gregory D. Myer, Jed A. Diekfuss   +12 more
doaj   +1 more source

Quantitative Susceptibility Mapping: Contrast Mechanisms and Clinical Applications [PDF]

, 2015
Quantitative susceptibility mapping (QSM) is a recently developed MRI technique for quantifying the spatial distribution of magnetic susceptibility within biological tissues.
Chunlei Liu, Russel Dibb, Kyle Decker, Decker, Kyle, Hongjiang Wei, Liu, Chunlei, Cronin, Matthew, Wei, Hongjiang, Gong, Nan-Jie, Nan-Jie Gong, Matthew Cronin, Dibb, Russel   +11 more
core   +1 more source

Functional Quantitative Susceptibility Mapping (fQSM)

, 2012
Quantitative susceptibility mapping (QSM) was performed on fMRI time-series to reconstruct maps with activation induced local susceptibility changes. A multi-step image processing algorithm was developed for filtering out unwanted temporal and spatial ...
Wharton, S., Scheffler, K., Bowtell, R., Francis, S., Sanchez-Panchuelo, R., Balla, D., Hagberg, G.   +6 more
core  

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning

CoRR, 2019
We propose Nonlinear Dipole Inversion (NDI) for high-quality Quantitative Susceptibility Mapping (QSM) without regularization tuning, while matching the image quality of state-of-the-art reconstruction techniques. In addition to avoiding over-smoothing that these techniques often suffer from, we also obviate the need for parameter selection.
Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Srinivasan Iyer, Jongho Lee 0003, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic   +8 more
openaire   +2 more sources

Relationship between tau-PET and quantitative susceptibility mapping in atypical Alzheimer’s disease

Frontiers in Aging Neuroscience
BackgroundIron is an important component in neurofibrillary tangles, is known to co-localize with tangles in Alzheimer’s disease (AD) and can be measured using quantitative susceptibility mapping (QSM).
Neha Singh-Reilly, Ryota Satoh, Jonathan Graff-Radford, Mary M. Machulda, Val J. Lowe, Keith A. Josephs, Jennifer L. Whitwell   +6 more
doaj   +1 more source

The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation reveals pathological alteration in Alzheimer's disease-driven neurodegeneration. [PDF]

Neuroimage, 2023
Ahmed M, Chen J, Arani A, Senjem ML, Cogswell PM, Jack CR, Liu C.   +6 more
europepmc   +1 more source