Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data

Miriam Löcke, Pim van Ooij, Cristóbal Bertoglio

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DOI: 10.1007/s10237-026-02097-z
Published: 2026-06-27
Container: Biomechanics and Modeling in Mechanobiology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10237-026-02097-z,
  title = {Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data},
  author = {Miriam Löcke and Pim van Ooij and Cristóbal Bertoglio},
  year = {2026},
  journal = {Biomechanics and Modeling in Mechanobiology},
  doi = {10.1007/s10237-026-02097-z},
  url = {https://doi.org/10.1007/s10237-026-02097-z}
}

RIS

TY  - JOUR
TI  - Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data
AU  - Miriam Löcke
AU  - Pim van Ooij
AU  - Cristóbal Bertoglio
PY  - 2026
JO  - Biomechanics and Modeling in Mechanobiology
DO  - 10.1007/s10237-026-02097-z
UR  - https://doi.org/10.1007/s10237-026-02097-z
ER  -

APA

Löcke, M., Ooij, P. V., & Bertoglio, C. (2026). Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-026-02097-z

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crossref · retrieved 2026-09-25T04:36:03.656Z