Results 111 to 120 of about 226,708 (241)

Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data

, 2021
Jingjia Chen, Nan‐Jie Gong, Khallil Taverna Chaim, Maria Concepción García Otaduy, Chunlei Liu   +4 more
openalex   +1 more source

Editorial: Quantitative susceptibility mapping: technical advances and clinical applications

Frontiers in Neuroscience, 2023
Hongjiang Wei, Xiaojun Guan, Peng Cao, Yuyao Zhang   +3 more
doaj   +1 more source

Review for "Toward quantitative neuroimaging biomarkers for Friedreich's ataxia at 7 Tesla: Susceptibility mapping, diffusion imaging, <i>R</i> ₂ and <i>R</i> ₁ relaxometry"

, 2020
Alexander Rauscher
openalex   +1 more source

Quantitative Susceptibility Mapping Outside the Brain [PDF]

, 2023
Quantitative susceptibility mapping (QSM) has been suggested for the assessment of several pathologies in body regions. However, current techniques, originally developed for brain applications, sometimes violate inherent assumptions or do not include available information.
openaire  

Quantitative Susceptibility Mapping of Human Brain at 3T: A Multisite Reproducibility Study [PDF]

, 2014
P.-Y. Lin, Tzu Cheng Chao, Min Wu
openalex   +1 more source

Increased iron in the substantia nigra pars compacta identifies patients with early Parkinson’s disease: A 3T and 7T MRI study

NeuroImage: Clinical
Degeneration in the substantia nigra (SN) pars compacta (SNc) underlies motor symptoms in Parkinson’s disease (PD). Currently, there are no neuroimaging biomarkers that are sufficiently sensitive, specific, reproducible, and accessible for routine ...
Erind Alushaj, Nicholas Handfield-Jones, Alan Kuurstra, Anisa Morava, Ravi S. Menon, Adrian M. Owen, Manas Sharma, Ali R. Khan, Penny A. MacDonald   +8 more
doaj   +1 more source

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility\n Mapping (QSM) without parameter tuning [PDF]

, 2019
Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Iyer, Jongho Lee, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic̦   +8 more
openalex   +1 more source

Quantitative susceptibility mapping of brain iron in healthy aging and cognition

, 2023
David J. Madden, Jenna L. Merenstein
openalex   +1 more source

Associations Between Cortical Iron Accumulation and Memory in Patients With Amnestic Mild Cognitive Impairment and in Cognitively Normal Individuals

Brain and Behavior
Background and Purpose Brain iron accumulation is recognized as a cause and therapeutic target in Alzheimer's disease (AD). We investigated the differences in both volume and iron accumulation between cognitively normal (CN) older adults and patients ...
Subin Lee, Suhyeon Lee, Ina Park, Yeonsil Moon, Younghee Yim, Jongho Lee, June Sic Kim, Won‐Jin Moon   +7 more
doaj   +1 more source

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping [PDF]

, 2020
Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang   +5 more
openalex   +1 more source