Bonet-Carne, E;
Daducci, A;
Johnston, E;
Jacobs, J;
Freeman, A;
Atkinson, D;
Hawkes, D;
... panagiotaki, E; + view all
(2018)
VERDICT prostate parameter estimation with AMICO.
In: Kaden, E and Grussu, F and Ning, L and Tax, CMW and Veraart, J, (eds.)
Computational Diffusion MRI.
(pp. pp. 229-241).
Springer: Cham, Switzerland.
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Abstract
The VERDICT (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumours) technique estimates non-invasively cancer microstructure features. The clinical application of VERDICT for prostate cancer requires constraining some of the model’s parameter. This work uses the Accelerated Microstructure Imaging via Convex Optimization (AMICO) formulation for VERDICT (VERDICT-AMICO), to investigate parameter estimation for prostate tissue in an attempt to minimize the parameter constraints. We examine various dictionaries for VERDICT-AMICO enabling different levels of flexibility on the choice of parameter values. Depending on the stability of the fitting this procedure leads to the selection of a dictionary (or dictionaries) with the fewest number of model parameter constraints. Results show that with the current VERDICT imaging acquisition, the model can have an extra free parameter to fit, the extracellular diffusivity. In conclusion, the AMICO adaptation for VERDICT allowed testing of different values for the previously fixed model parameters, and helped relax assumptions of fixed extracellular diffusivity that the model currently uses for prostate cancer characterisation.
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