Abstract #1126
Pharmacokinetic modelling of longitudinal dceMRI scans for assessment of tumour growth
Monica Enescu 1 , Amalia Cifor 1 , Veerle Kersemans 2 , Danny Allen 2 , Stuart Gilchrist 2 , John Beech 2 , Sean Smart 2 , Michael A Chappell 1 , and Julia A Schnabel 1
1
Institute of Biomedical Engineering,
University of Oxford, Oxford, United Kingdom,
2
Preclinical
Imaging Group, University of Oxford, Oxford, United
Kingdom
A new model based approach to quantify tumour growth
from longitudinal dceMRI images is proposed. Subsequent
time points were registered to the first time point
using a multichannel registration method based on
pharmacokinetic parameter maps. This method was shown to
successfully recover tumour growth, on data where the
tumour change is small and gradual. We have also
investigated whether pharmacokinetic parameters at the
first time point can act as a predictor of localized
tumour growth.
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