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Conference Paper

Detecting pulsatile motion of blood vessels in Real-Time MRI

MPS-Authors
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von der Ohe,  Thorge
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Luther,  Stefan
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Parlitz,  Ulrich
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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WSBiosignals2024_vdOhe.pdf
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Citation

von der Ohe, T., Telezki, V., Hofer, S., Dechent, P., Uecker, M., Bähr, M., et al. (2024). Detecting pulsatile motion of blood vessels in Real-Time MRI. In Proceedings of the Workshop Biosignal 2024. Göttingen: Göttingen Research Online. doi:10.47952/gro-publ-205.


Cite as: https://hdl.handle.net/21.11116/0000-000F-271F-4
Abstract
We present a modular approach to analyse vascular pulsatile motion based on real-time MR imaging data. To analyse this pulsatile motion blood vessels are detected frame-wise using intensity threshold determination in combination with edge detection and outlier filter functions. The detected vessels found in consecutive frames are assigned to one another according to their relative position within the frame. This approach allows us to restrict the region of interest (ROI) to only contain individual blood vessels and to use these ROIs for further analysis.