MR venography of the human brain using susceptibility weighted imaging at very high field strength

Koopmans, Peter J., Manniesing, Rashindra, Niessen, Wiro J., Viergever, Max A. and Barth, Markus (2008) MR venography of the human brain using susceptibility weighted imaging at very high field strength. Magnetic Resonance Materials in Physics, Biology and Medicine, 21 1-2: 149-158. doi:10.1007/s10334-007-0101-3


Author Koopmans, Peter J.
Manniesing, Rashindra
Niessen, Wiro J.
Viergever, Max A.
Barth, Markus
Title MR venography of the human brain using susceptibility weighted imaging at very high field strength
Journal name Magnetic Resonance Materials in Physics, Biology and Medicine   Check publisher's open access policy
ISSN 0968-5243
1352-8661
Publication date 2008
Sub-type Article (original research)
DOI 10.1007/s10334-007-0101-3
Open Access Status
Volume 21
Issue 1-2
Start page 149
End page 158
Total pages 10
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Formatted abstract
Objective: We investigate the implications of high magnetic field strength on MR venography based on susceptibility-weighted imaging (SWI) and estimate the optimum echo time to obtain maximum contrast between blood and brain tissue.

Materials and methods: We measured tissue contrast and T*2 relaxation times at 7 T of gray matter, white matter, and venous blood in vivo.

Results: T*2 relaxation times of gray matter, white matter, and venous blood in vivo yielded 32.9 ± 2.3, 27.7 ± 4.3, and 7.4 ± 1.4 ms, respectively. Optimum TE was found to be 15 ms which is supported by theoretical considerations. Using this optimum TE, we acquired 3D high resolution datasets with a large volume coverage in a short measurement time that show very detailed microanatomical structures of the human brain such as intracortical veins and laminar cortical substructures.

Conclusions: By applying optimised vessel filters (vesselness filter and vessel enhancing diffusion) whole brain MR venograms can be obtained at 7 T with a significantly reduced measurement time compared to 3 T. 
Keyword 3 T
7 T
Neuroimaging
Parallel imaging
Transverse relaxation times
Venography
Vessel enhancing diffusion
Vessel segmentation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
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