Results 171 to 180 of about 4,917,448 (190)
Some of the next articles are maybe not open access.

INR-QSM: unsupervised quantitative susceptibility mapping using implicit neural representation

ISMRM Annual Meeting
This study introduced an unsupervised deep learning-based method for QSM reconstruction using implicit neural representation (INR-QSM), a training databases-free method for high-quality QSM reconstruction. In INR-QSM, the susceptibility map was represented as a continuous function of the spatial coordinates.
Ming Zhang, Yuyao Zhang, Hongjiang Wei
openaire   +1 more source

DF‐QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain

NMR in Biomedicine
AbstractQuantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase.
Naveen Paluru   +2 more
openaire   +2 more sources

Studying psychiatric diseases using quantitative susceptibility mapping (QSM)

Quantitative Susceptibility Mapping (QSM), a sophisticated MRI-based technique for quantifying brain magnetic susceptibility, has emerged as a valuable tool in exploring neurodegenerative diseases and, more recently, psychiatric disorders such as first-episode schizophrenia, depression, anxiety, and stress.
openaire   +1 more source

Quantitative Susceptibility Mapping (QSM) and R2* of Silent Cerebral Infarcts in Sickle Cell Anemia

Frontiers in Neurology, 2022
Karin Shmueli   +2 more
exaly  

Joint Estimation of Chemical Shift and Quantitative Susceptibility Mapping (Chemical QSM)

Magnetic Resonance in Medicine, 2015
Robert R. Edelman   +2 more
exaly  

Home - About - Disclaimer - Privacy