scholarly journals Methods of diffusion-weighted and functional magnetic resonance imaging investigated in the human brain at ultra-high-field

2016 ◽  
Author(s):  
Arne Seehaus
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Human Brain ◽  
High Field ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Ultra High Field ◽  
Diffusion Weighted

scholarly journals Cardiac functional magnetic resonance imaging at 7T: Image quality optimization and ultra-high field capabilities

2020 ◽  
Vol 12 (10) ◽  
pp. 231-246
Author(s):  
El-Sayed H Ibrahim ◽  
V Emre Arpinar ◽  
L Tugan Muftuler ◽  
Jadranka Stojanovska ◽  
Andrew S Nencka ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
Functional Magnetic Resonance Imaging ◽  
High Field ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Ultra High Field ◽  
Quality Optimization

scholarly journals Forging a path to mesoscopic imaging success with ultra-high field functional magnetic resonance imaging

2020 ◽  
Vol 376 (1815) ◽  
pp. 20200040 ◽  
Author(s):  
Kimberly B. Weldon ◽  
Cheryl A. Olman
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
High Field ◽  
7 Tesla ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Ultra High Field ◽  
Spatial Specificity ◽  
The Impact

Functional magnetic resonance imaging (fMRI) studies with ultra-high field (UHF, 7+ Tesla) technology enable the acquisition of high-resolution images. In this work, we discuss recent achievements in UHF fMRI at the mesoscopic scale, on the order of cortical columns and layers, and examine approaches to addressing common challenges. As researchers push to smaller and smaller voxel sizes, acquisition and analysis decisions have greater potential to degrade spatial accuracy, and UHF fMRI data must be carefully interpreted. We consider the impact of acquisition decisions on the spatial specificity of the MR signal with a representative dataset with 0.8 mm isotropic resolution. We illustrate the trade-offs in contrast with noise ratio and spatial specificity of different acquisition techniques and show that acquisition blurring can increase the effective voxel size by as much as 50% in some dimensions. We further describe how different sources of degradations to spatial resolution in functional data may be characterized. Finally, we emphasize that progress in UHF fMRI depends not only on scientific discovery and technical advancement, but also on informal discussions and documentation of challenges researchers face and overcome in pursuit of their goals. This article is part of the theme issue ‘Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity’.

scholarly journals Cardiac functional magnetic resonance imaging at 7T: Image quality optimization and ultra-high field capabilities

2020 ◽  
Vol 12 (10) ◽  
pp. 229-246
Author(s):  
El-Sayed H Ibrahim ◽  
V Emre Arpinar ◽  
L Tugan Muftuler ◽  
Jadranka Stojanovska ◽  
Andrew S Nencka ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
Functional Magnetic Resonance Imaging ◽  
High Field ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Ultra High Field ◽  
Quality Optimization
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