Parameter identification for a two-compartment contrast flow field model
Citation Link: https://doi.org/10.15480/882.16937
Publikationstyp
Doctoral Thesis
Date Issued
2026
Sprache
English
Author(s)
Advisor
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2026-03-26
Institute
TORE-DOI
Citation
Technische Universität Hamburg (2026)
This thesis applies a two-compartment model to reconstruct perfusion parameters from 3D dynamic contrast-enhanced ultrasound data, with the goal of providing information about tumor perfusion and treatment response. The method is demonstrated on 3D ultrasound data, which requires projecting the data onto a 2D-plane, resulting in reconstructed parameters that include physiologically plausible flow velocities and a conversion functions, which relates to the perfusion of the area.
Subjects
parameter identification
optimisation
modeling
contrast flow-field model
pde constrained optimisation
DDC Class
610: Medicine, Health
519: Applied Mathematics, Probabilities