Cappelle, Sarah, Pareto Onghena, Deborah, Sunaert, Stefan, Smets, Ide, Laenen, Annouschka, Dubois, Benedicte, Demaerel, Philippe, Neurology, Cappelle, S., Pareto, D., Sunaert, S., Smets , I, LAENEN, Annouschka, Dubois, B., Demaerel, Ph, Institut Català de la Salut, [Cappelle S] Department of Radiology, University Hospitals Leuven, Leuven, Belgium. [Pareto D] Institut de Diagnòstic per la Imatge, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Sunaert S, Demaerel P] Department of Radiology, University Hospitals Leuven, Leuven, Belgium. Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium. [Smets I] Laboratory for Neuroimmunology, KU Leuven, Leuven, Belgium. Department of Neurology, Erasmus MC, Rotterdam, The Netherlands. [Laenen A] Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven and Hasselt University, Leuven, Belgium. [Dubois B] Laboratory for Neuroimmunology, KU Leuven, Leuven, Belgium. Department of Neurology, University Hospitals Leuven, Leuven, Belgium, and Vall d'Hebron Barcelona Hospital Campus
Image calibration; Integrity; Multiple sclerosis Calibración de imagen; Integridad; Esclerosis múltiple Calibració d'imatge; Integritat; Esclerosi múltiple Introduction Calculation of a T1w/T2w ratio was introduced as a proxy for myelin integrity in the brain of multiple sclerosis (MS) patients. Since nowadays 3D FLAIR is commonly used for lesion detection instead of T2w images, we introduce a T1w/FLAIR ratio as an alternative for the T1w/T2w ratio. Objectives Bias and intensity variation are widely present between different scanners, between subjects and within subjects over time in T1w, T2w and FLAIR images. We present a standardized method for calculating a histogram calibrated T1w/FLAIR ratio to reduce bias and intensity variation in MR sequences from different scanners and at different time-points. Material and methods 207 Relapsing Remitting MS patients were scanned on 4 different 3 T scanners with a protocol including 3D T1w, 2D T2w and 3D FLAIR images. After bias correction, T1w/FLAIR ratio maps and T1w/T2w ratio maps were calculated in 4 different ways: without calibration, with linear histogram calibration as described by Ganzetti et al. (2014), and by using 2 methods of non-linear histogram calibration. The first nonlinear calibration uses a template of extra-cerebral tissue and cerebrospinal fluid (CSF) brought from Montreal Neurological Institute (MNI) space to subject space; for the second nonlinear method we used an extra-cerebral tissue and CSF template of our own subjects. Additionally, we segmented several brain structures such as Normal Appearing White Matter (NAWM), Normal Appearing Grey Matter (NAGM), corpus callosum, thalami and MS lesions using Freesurfer and Samseg. Results The coefficient of variation of T1w/FLAIR ratio in NAWM for the no calibrated, linear, and 2 nonlinear calibration methods were respectively 24, 19.1, 9.5, 13.8. The nonlinear methods of calibration showed the best results for calculating the T1w/FLAIR ratio with a smaller dispersion of the data and a smaller overlap of T1w/FLAIR ratio in the different segmented brain structures. T1w/T2w and T1w/FLAIR ratios showed a wider range of values compared to MTR values. Conclusions Calibration of T1w/T2w and T1w/FLAIR ratio maps is imperative to account for the sources of variation described above. The nonlinear calibration methods showed the best reduction of between-subject and within-subject variability. The T1w/T2w and T1w/FLAIR ratio seem to be more sensitive to smaller changes in tissue integrity than MTR. Future work is needed to determine the exact substrate of T1w/FLAIR ratio and to obtain correlations with clinical outcome.