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| 001 | 842041 | ||
| 005 | 20210129232153.0 | ||
| 024 | 7 | _ | |a 10.1016/j.ymeth.2017.07.025 |2 doi |
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| 100 | 1 | _ | |a Oros-Peusquens, A. M. |0 P:(DE-Juel1)131782 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Methods for molecular imaging of brain tumours in a hybrid MR-PET context: Water content, T 2 ∗ , diffusion indices and FET-PET |
| 260 | _ | _ | |a Orlando, Fla. |c 2017 |b Academic Press |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Shah, N. J. |0 P:(DE-Juel1)131794 |b 4 |
| 773 | _ | _ | |a 10.1016/j.ymeth.2017.07.025 |g Vol. 130, p. 135 - 151 |0 PERI:(DE-600)1471152-7 |p 135 - 151 |t Methods |v 130 |y 2017 |x 1046-2023 |
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