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

The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis using processed contrast agent concentration data from dynamic MRI acquisitions....

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Detalles Bibliográficos
Autores principales: Lorentzen, Rolf Johan, Nævdal, Geir, Sævareid, Ove, Hodneland, Erlend, Hanson, Erik Andreas, Munthe-Kaas, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569616/
https://www.ncbi.nlm.nih.gov/pubmed/37782658
http://dx.doi.org/10.1371/journal.pcbi.1011127
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author Lorentzen, Rolf Johan
Nævdal, Geir
Sævareid, Ove
Hodneland, Erlend
Hanson, Erik Andreas
Munthe-Kaas, Antonella
author_facet Lorentzen, Rolf Johan
Nævdal, Geir
Sævareid, Ove
Hodneland, Erlend
Hanson, Erik Andreas
Munthe-Kaas, Antonella
author_sort Lorentzen, Rolf Johan
collection PubMed
description The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis using processed contrast agent concentration data from dynamic MRI acquisitions. A new methodology for analysis is evaluated and verified using synthetic data generated on a tissue geometry.
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spelling pubmed-105696162023-10-13 Perfusion estimation using synthetic MRI-based measurements and a porous media flow model Lorentzen, Rolf Johan Nævdal, Geir Sævareid, Ove Hodneland, Erlend Hanson, Erik Andreas Munthe-Kaas, Antonella PLoS Comput Biol Research Article The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis using processed contrast agent concentration data from dynamic MRI acquisitions. A new methodology for analysis is evaluated and verified using synthetic data generated on a tissue geometry. Public Library of Science 2023-10-02 /pmc/articles/PMC10569616/ /pubmed/37782658 http://dx.doi.org/10.1371/journal.pcbi.1011127 Text en © 2023 Lorentzen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lorentzen, Rolf Johan
Nævdal, Geir
Sævareid, Ove
Hodneland, Erlend
Hanson, Erik Andreas
Munthe-Kaas, Antonella
Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title_full Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title_fullStr Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title_full_unstemmed Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title_short Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
title_sort perfusion estimation using synthetic mri-based measurements and a porous media flow model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569616/
https://www.ncbi.nlm.nih.gov/pubmed/37782658
http://dx.doi.org/10.1371/journal.pcbi.1011127
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