Dephasing and diffusion on the alveolar surface

We propose a surface model of spin dephasing in lung tissue that includes both susceptibility and diffusion effects to provide a closed-form solution of the Bloch-Torrey equation on the alveolar surface. The nonlocal susceptibility effects of the model are validated against numerical simulations of...

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Hauptverfasser: Buschle, Lukas R. (VerfasserIn) , Kurz, Felix T. (VerfasserIn) , Wagner, Willi Linus (VerfasserIn) , Dürr, Julia (VerfasserIn) , Stiller, Wolfram (VerfasserIn) , Konietzke, Philip (VerfasserIn) , Wünnemann, Felix (VerfasserIn) , Mall, Marcus A. (VerfasserIn) , Wielpütz, Mark Oliver (VerfasserIn) , Ziener, Christian H. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 24 February 2017
In: Physical review
Year: 2017, Jahrgang: 95, Heft: 2, Pages: 022415
ISSN:2470-0053
DOI:10.1103/PhysRevE.95.022415
Online-Zugang:Verlag, Volltext: http://dx.doi.org/10.1103/PhysRevE.95.022415
Verlag, Volltext: https://link.aps.org/doi/10.1103/PhysRevE.95.022415
Volltext
Verfasserangaben:L.R. Buschle, F.T. Kurz, T. Kampf, W.L. Wagner, J. Duerr, W. Stiller, P. Konietzke, F. Wünnemann, M.A. Mall, M.O. Wielpütz, H.P. Schlemmer, and C.H. Ziener
Beschreibung
Zusammenfassung:We propose a surface model of spin dephasing in lung tissue that includes both susceptibility and diffusion effects to provide a closed-form solution of the Bloch-Torrey equation on the alveolar surface. The nonlocal susceptibility effects of the model are validated against numerical simulations of spin dephasing in a realistic lung tissue geometry acquired from synchotron-based μCT data sets of mouse lung tissue, and against simulations in the well-known Wigner-Seitz model geometry. The free induction decay is obtained in dependence on microscopic tissue parameters and agrees very well with in vivo lung measurements at 1.5 Tesla to allow a quantification of the local mean alveolar radius. Our results are therefore potentially relevant for the clinical diagnosis and therapy of pulmonary diseases.
Beschreibung:Gesehen am 30.05.2018
Beschreibung:Online Resource
ISSN:2470-0053
DOI:10.1103/PhysRevE.95.022415