TY  - JOUR
AU  - Oros-Peusquens, A. M.
AU  - Loução, R.
AU  - Zimmermann, Markus
AU  - Langen, K.-J.
AU  - Shah, N. J.
TI  - Methods for molecular imaging of brain tumours in a hybrid MR-PET context: Water content, T 2 ∗ , diffusion indices and FET-PET
JO  - Methods
VL  - 130
SN  - 1046-2023
CY  - Orlando, Fla.
PB  - Academic Press
M1  - FZJ-2018-00325
SP  - 135 - 151
PY  - 2017
AB  - The aim of this study is to present and evaluate a multiparametric and multi-modality imaging protocol applied to brain tumours and investigate correlations between these different imaging measures. In particular, we describe a method for rapid, non-invasive, quantitative imaging of water content of brain tissue, based on a single multiple-echo gradient-echo (mGRE) acquisition. We include in the processing a method for noise reduction of the multi-contrast data based on Principal Component Analysis (PCA). Noise reduction is a key ingredient to obtaining high-precision water content and transverse relaxation T2∗ values. The quantitative method is applied to brain tumour patients in a hybrid MR-PET environment. Active tumour tissue is identified by means of FET-PET; oedema, white and grey-matter segmentation is performed based on MRI contrasts. Water content information is not only relevant by itself, but also as a basis for correlations with other quantitative measures of water behaviour in tissue and interpreting the microenvironment of water. Water content in active tumour tissue (84%) and oedema (79%) regions is found to be higher than that of normal WM (69%) and close to that of normal GM (83%). Consistent with literature reports, mean kurtosis is measured to be lower in tumour and oedema regions than in normal WM and GM, whereas mean diffusivity is increased. Voxel-based correlations between water content and diffusion indices obtained with diffusion kurtosis tensor imaging, and between quantitative MRI and FET-PET are reported for 8 brain tumour patients. The effective transverse relaxation time T2∗ is found to be the MR parameter showing the strongest correlations with other MR indices derived here and with FET-PET.
LB  - PUB:(DE-HGF)16
C6  - pmid:28774682
UR  - <Go to ISI:>//WOS:000414879700015
DO  - DOI:10.1016/j.ymeth.2017.07.025
UR  - https://juser.fz-juelich.de/record/842041
ER  -