Abstract #0249

Automatic Pipeline for Regional Brain Analyses in Demyelinated Mice

Emilie Poirion¹, Daniel Garcia Lorenzo¹, Isaac Adanyeguh¹, Marie-Stéphane Aigrot¹, Alexandra Petiet², and Bruno Stankoff^1,3

¹Brain and Spine Institute, INSERM U1127/CNRS UMR 7225, Sorbonnes Universités, UPMC, CHU Pitié-Salpêtrière, 47 Bd de l'hôpital, 75013 Paris, Paris, France, ²Brain and Spine Institute, Center for Neuroimaging Research (CENIR), CHU Pitié-Salpêtrière, 47 Bd de l'hôpital, 75013 Paris, Paris, France, ³AP-HP, Saint Antoine Hospital, Department of Neurology, 184 Bd du Faubourg Saint Antoine, 75012 Paris, Paris, France

Experimental studies in mouse models offer the opportunity to combine in-vivo longitudinal high-field MRI and histological analyses. However, automatic MRI tools for processing rodent data to avoid manual processing are lacking. We proposed an automatic pipeline to perform systematic analyses on large murine cohorts with longitudinal data. We first applied artifacts correction as bias correction to optimize the subsequent steps. We then registered masks of regions of interest (ROIs) for our analyses onto each subject from which we extracted the quantitative data. This pipeline provides a way of quickly analyzing ROI regardless of disease models or the MRI sequence.

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