Results 41 to 50 of about 2,651,897 (274)

Off-resonance artifact correction for magnetic resonance imaging: a review [PDF]

open access: yesarXiv, 2022
In magnetic resonance imaging (MRI), inhomogeneity in the main magnetic field used for imaging, referred to as off-resonance, can lead to image artifacts ranging from mild to severe depending on the application. Off-resonance artifacts, such as signal loss, geometric distortions, and blurring, can compromise the clinical and scientific utility of MR ...
arxiv  

Tracing of Neuronal Connections in the Human Brain by Magnetic Resonance Imaging in vivo [PDF]

open access: yes, 1990
Axon degeneration after disruption of fibre tracts in the mammalian nervous system is accompanied by myelin breakdown which leads to changes in its magnetic resonance properties.
Bauer, W. M.   +2 more
core   +1 more source

Imaging of atherosclerosis: magnetic resonance imaging [PDF]

open access: yesEuropean Heart Journal, 2011
Atherosclerosis and its thrombotic complications are the major cause of morbidity and mortality in the industrialized countries. Despite advances in our understanding of the pathophysiology, pathogenesis, and new treatment modalities, the absence of an adequate non-invasive imaging tool for early detection limits both the prevention and treatment of ...
Corti, R, Fuster, V
openaire   +5 more sources

Altered static and dynamic functional connectivity of habenula in first-episode, drug-naïve schizophrenia patients, and their association with symptoms including hallucination and anxiety

open access: yesFrontiers in Psychiatry, 2023
Background and objectiveThe pathogenesis of schizophrenia (SCH) is related to the dysfunction of monoamine neurotransmitters, and the habenula participates in regulating the synthesis and release of dopamine.
Kangkang Xue   +8 more
doaj   +1 more source

Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1

open access: yesJournal of Neuroscience, 1996
The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes that fMRI responses are proportional to local average neural activity averaged over a period of time.
G. Boynton   +3 more
semanticscholar   +1 more source

Magnetic resonance imaging methodology [PDF]

open access: yesEuropean Journal of Nuclear Medicine and Molecular Imaging, 2008
Magnetic resonance (MR) methods are non-invasive techniques to provide detailed, multi-parametric information on human anatomy, function and metabolism. Sensitivity, specificity, spatial and temporal resolution may, however, vary depending on hardware (e.g., field strength, gradient strength and speed) and software (optimised measurement protocols and ...
Andreas Stadlbauer   +4 more
openaire   +4 more sources

Ferromagnetic resonance imaging of Co films using magnetic resonance force microscopy [PDF]

open access: yes, 1998
Lateral one-dimensional imaging of cobalt (Co) films by means of microscopic ferromagnetic resonance (FMR) detected using the magnetic resonance force microscope (MRFM) is demonstrated.
Childress, J. R.   +5 more
core   +2 more sources

Direct Imaging of Radio-Frequency Modes via Traveling Wave Magnetic Resonance Imaging [PDF]

open access: yesJ. Appl. Phys. 119, 024904 (2016), 2015
We demonstrate an experimental method for direct 2D and 3D imaging of magnetic radio-frequency (rf) field distribution in metal-dielectric structures based on traveling wave (TW) magnetic resonance imaging (MRI) at ultra-high field (> 7T). The typical apparatus would include an ultra-high field whole body or small bore MRI scanner, waveguide elements ...
arxiv   +1 more source

REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

open access: yesPLoS ONE, 2011
Resting-state fMRI (RS-fMRI) has been drawing more and more attention in recent years. However, a publicly available, systematically integrated and easy-to-use tool for RS-fMRI data processing is still lacking.
Xiaowei Song   +8 more
semanticscholar   +1 more source

Accelerating magnetic resonance imaging via deep learning

open access: yesIEEE International Symposium on Biomedical Imaging, 2016
This paper proposes a deep learning approach for accelerating magnetic resonance imaging (MRI) using a large number of existing high quality MR images as the training datasets.
Shanshan Wang   +7 more
semanticscholar   +1 more source

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