Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

Rolf Johan Lorentzen, Geir Nævdal, Ove Sævareid, Erlend Hodneland, Erik Andreas Hanson, Antonella Munthe-Kaas

Open source

DOI: 10.1371/journal.pcbi.1011127
Published: 2023-10-02
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1011127,
  title = {Perfusion estimation using synthetic MRI-based measurements and a porous media flow model},
  author = {Rolf Johan Lorentzen and Geir Nævdal and Ove Sævareid and Erlend Hodneland and Erik Andreas Hanson and Antonella Munthe-Kaas},
  year = {2023},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1011127},
  url = {https://doi.org/10.1371/journal.pcbi.1011127}
}

RIS

TY  - JOUR
TI  - Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
AU  - Rolf Johan Lorentzen
AU  - Geir Nævdal
AU  - Ove Sævareid
AU  - Erlend Hodneland
AU  - Erik Andreas Hanson
AU  - Antonella Munthe-Kaas
PY  - 2023
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1011127
UR  - https://doi.org/10.1371/journal.pcbi.1011127
ER  -

APA

Lorentzen, R. J., Nævdal, G., Sævareid, O., Hodneland, E., Hanson, E. A., & Munthe-Kaas, A. (2023). Perfusion estimation using synthetic MRI-based measurements and a porous media flow model. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1011127

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crossref · retrieved 2026-09-26T17:01:10.937Z