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Poster

A realistic vascular model for BOLD signal up to 16.4 T

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84094

Müller-Bierl,  AM
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84131

Pawlak,  V
Research Group Neural Population Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84010

Kerr,  J
Research Group Neural Population Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84269

Uludag,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Müller-Bierl, A., Pawlak, V., Kerr, J., Ugurbil, K., & Uludag, K. (2010). A realistic vascular model for BOLD signal up to 16.4 T. Poster presented at ISMRM-ESMRMB Joint Annual Meeting 2010, Stockholm, Sweden.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-C060-F
Zusammenfassung
The blood oxygenation level-dependent (BOLD) signal using functional magnetic resonance imaging (fMRI) is currently the most popular imaging method to study brain function non-invasively. The sensitivity of the BOLD signal to different types of MRI sequences and vessel sizes is currently under investigation [1]. Gradient echo (GRE) sequences are known to be sensitive to larger vessels (venules and veins), whereas spin-echo (SE) sequences are generally more sensitive to smaller vessels (venules and capillaries), especially at high magnetic field strength [2, 3]. However, the widely used single vessel model is only an approximation to the realistic vascular distribution. Realistic vascular models have been proposed by Marques and Bowtell [4] and, recently, by Chen et al.[5]. We herein present a realistic vascular model (RVM) where diffusion is accounted for by a Monte-Carlo random walk.