Journal Article

FZJ-2021-03564

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Fast Protocol for Multiparametric Characterisation of Diffusion in the Brain and Brain Tumours

Loução, R.FZJ* ; Oros-Peusquens, A.-M. (Corresponding author)FZJ* ; Langen, K.-J.FZJ* ; Ferreira, H. A. ; Shah, N. J.FZJ*

2021
Frontiers Media Lausanne

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Please use a persistent id in citations: http://hdl.handle.net/2128/28676  doi:10.3389/fonc.2021.554205

Abstract: Multi-parametric tissue characterisation is demonstrated using a 4-minute protocol based on diffusion trace acquisitions. Three diffusion regimes are covered simultaneously: pseudo-perfusion, Gaussian, and non-Gaussian diffusion. The clinical utility of this method for fast multi-parametric mapping for brain tumours is explored. A cohort of 17 brain tumour patients was measured on a 3T hybrid MR-PET scanner with a standard clinical MRI protocol, to which the proposed multi-parametric diffusion protocol was subsequently added. For comparison purposes, standard perfusion and a full diffusion kurtosis protocol were acquired. Simultaneous amino-acid (18F-FET) PET enabled the identification of active tumour tissue. The metrics derived from the proposed protocol included perfusion fraction, pseudo-diffusivity, apparent diffusivity, and apparent kurtosis. These metrics were compared to the corresponding metrics from the dedicated acquisitions: cerebral blood volume and flow, mean diffusivity and mean kurtosis. Simulations were carried out to assess the influence of fitting methods and noise levels on the estimation of the parameters. The diffusion and kurtosis metrics obtained from the proposed protocol show strong to very strong correlations with those derived from the conventional protocol. However, a bias towards lower values was observed. The pseudo-perfusion parameters showed very weak to weak correlations compared to their perfusion counterparts. In conclusion, we introduce a clinically applicable protocol for measuring multiple parameters and demonstrate its relevance to pathological tissue characterisation.

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Contributing Institute(s):

1. Physik der Medizinischen Bildgebung (INM-4)
2. Jara-Institut Quantum Information (INM-11)
3. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)

Research Program(s):

1. 5253 - Neuroimaging (POF4-525) (POF4-525)

Appears in the scientific report 2021

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Database coverage:
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