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Abstract #4068

Towards a clinical acquisition protocol for VERDICT MRI in brain tumours

Matteo Figini1, Marco Palombo2,3, Michele Bailo4,5, Daniel C Alexander1, Mara Cercignani2, Antonella Castellano4,6, and Eleftheria Panagiotaki1
1Hawkes Institute and Department of Computer Science, University College London, London, United Kingdom, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 4Vita-Salute San Raffaele University, Milano, Italy, 5Department of Neurosurgery and Gamma Knife Radiosurgery, IRCCS Ospedale San Raffaele, Milano, Italy, 6Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milano, Italy

Synopsis

Keywords: Diffusion Acquisition, Diffusion Acquisition, Brain Tumor Microstructure

Motivation: Multi-compartment models of diffusion MRI can provide important information for the characterisation of brain tumours, but they often require long acquisition protocols that are not feasible in a clinical setting.

Goal(s): Our goal is to optimise a clinically feasible protocol to apply the multi-compartment model VERDICT in brain tumours.

Approach: Starting from an extensive protocol previously used to scan patients, we compare results obtained from different subsamples of that protocol in simulated and real data.

Results: The acquisition can be substantially shortened (about 15% of the initial duration) without significantly decreasing accuracy and maintaining the capability to differentiate tumour types.

Impact: We have shown that VERDICT-MRI brain tumour microstructure metrics can be estimated from substantially reduced acquisition protocols than in previous publications while maintaining the capability to differentiate tumour types. This is crucial for the clinical translation of this technique.

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