Results 11 to 20 of about 2,739 (132)

Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration [PDF]

Journal of Magnetic Resonance Imaging, 2018
Guang Yang, Yu Zhao, Xu Yan
exaly   +2 more sources

Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation [PDF]

Magnetic Resonance in Medicine, 2018
Youngwook Kee, Zhe Liu, Yi Wang
exaly   +2 more sources

Feasibility of ultrashort echo time quantitative susceptibility mapping with a 3D cones trajectory in the human brain

Frontiers in Neuroscience, 2022
PurposeQuantitative susceptibility mapping (QSM) has surfaced as a promising non-invasive quantitative biomarker that provides information about tissue composition and microenvironment.
Hyungseok Jang, Sam Sedaghat, Jiyo S. Athertya, Dina Moazamian, Michael Carl, Yajun Ma, Xing Lu, Alicia Ji, Eric Y. Chang, Eric Y. Chang, Jiang Du, Jiang Du, Jiang Du   +12 more
doaj   +1 more source

Simultaneous Quantitative Susceptibility Mapping of Articular Cartilage and Cortical Bone of Human Knee Joint Using Ultrashort Echo Time Sequences

Frontiers in Endocrinology, 2022
BackgroundIt is of great clinical importance to assess the microstructure of the articular cartilage and cortical bone of the human knee joint. While quantitative susceptibility mapping (QSM) is a promising tool for investigating the knee joint, however,
Ming Zhang, Zhihui Li, Hanqi Wang, Tongtong Chen, Yong Lu, Fuhua Yan, Yuyao Zhang, Hongjiang Wei   +7 more
doaj   +1 more source

SEPIA—Susceptibility mapping pipeline tool for phase images

NeuroImage, 2021
Quantitative susceptibility mapping (QSM) is a physics-driven computational technique that has a high sensitivity in quantifying iron deposition based on MRI phase images.
Kwok-Shing Chan, José P. Marques
doaj   +1 more source

Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping

Frontiers in Neuroscience, 2022
Quantitative susceptibility mapping (QSM) aims to evaluate the distribution of magnetic susceptibility from magnetic resonance phase measurements by solving the ill-conditioned dipole inversion problem.
Junjie He, Junjie He, Lihui Wang, Ying Cao, Rongpin Wang, Yuemin Zhu   +5 more
doaj   +1 more source

QSMART: Quantitative susceptibility mapping artifact reduction technique

NeuroImage, 2021
Purpose: Quantitative susceptibility mapping (QSM) is a novel MR technique that allows mapping of tissue susceptibility values from MR phase images. QSM is an ill-conditioned inverse problem, and although several methods have been proposed in the field ...
Negin Yaghmaie, Warda T. Syeda, Chengchuan Wu, Yicheng Zhang, Tracy D. Zhang, Emma L. Burrows, Amy Brodtmann, Bradford A. Moffat, David K. Wright, Rebecca Glarin, Scott Kolbe, Leigh A. Johnston   +11 more
doaj   +1 more source

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

Frontiers in Neuroscience, 2023
BackgroundQuantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that can measure the magnetic susceptibility of tissues, which can reflect their iron content.
Sadegh Ghaderi, Sadegh Ghaderi, Seyed Amir Hossein Batouli, Sana Mohammadi, Farzad Fatehi   +4 more
doaj   +1 more source

Multimodal comparisons of QSM and PET in neurodegeneration and aging

NeuroImage, 2023
Quantitative susceptibility mapping (QSM) has been used to study susceptibility changes that may occur based on tissue composition and mineral deposition.
Petrice M. Cogswell, Audrey P. Fan
doaj   +1 more source

Investigating the effect of flow compensation and quantitative susceptibility mapping method on the accuracy of venous susceptibility measurement

NeuroImage, 2021
Quantitative susceptibility mapping (QSM) is a promising non-invasive method for obtaining information relating to oxygen metabolism. However, the optimal acquisition sequence and QSM reconstruction method for reliable venous susceptibility measurements ...
Ronja C. Berg, Christine Preibisch, David L. Thomas, Karin Shmueli, Emma Biondetti   +4 more
doaj   +1 more source