A realistic vascular model for BOLD signal up to 16.4 T

Müller-Bierl, B; Pawlak, V; Kerr, J; Ugurbil, K; Uludag, K

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A realistic vascular model for BOLD signal up to 16.4 T

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Müller-Bierl, B
Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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

/persons/resource/persons84010

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

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Uludag, K
Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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ISMRM-2010-1129.PDF
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引用

Müller-Bierl, B., 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.

引用: https://hdl.handle.net/11858/00-001M-0000-0013-C060-F

要旨

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.