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Automatisation et optimisation de l'analyse d'images anatomo-fonctionnelles de cerveaux de souris par atlas numérique 3D

Jessica Lebenberg 1
1 LMN - Laboratoire des Maladies Neurodégénératives - UMR 9199
MIRCEN - Service MIRCEN : DRF/JACOB, CNRS - Centre National de la Recherche Scientifique : UMR 9199
Abstract : Murine models are commonly used in neuroscience to improve our knowledge of disease processes and to test drug e ects. To accurately study neuroanatomy and brain function in small animals, histological staining and ex vivo autoradiography remain the gold standards to date. However, the 3D spatial consistency of the structure is lost. The analyses are classically performed by manually tracing regions of interest, which is time-consuming. For this reason, only a few 2D tissue sections are usually processed, resulting in a loss of information. To consider more data and overcome the issue of the loss of the 3D spatial consistency of the studied organ, we used numerous serial sections to obtain a spatially consistent 3D reconstruction of the brain. To automatize and optimize the analysis of these data, we proposed to match a 3D digital atlas with 3D-reconstructed post mortem data to automatically evaluate morphology and function in mouse brain structures. However, this approach may mislead functional variation between groups if the concerned areas are small compared to the size of the segmentations. To detect this variation, a voxel-wise approach can be performed. Results from this kind of analysis realized in a small animal study are nevertheless complex to understand. We then proposed to automatically supervise the voxel-wise approach using the 3D digital atlas. A preliminary work was also realized to evaluate the feasibility to analyze PET mouse brain images using the digital atlas. One future prospect of these works is using a single tool, the 3D digital atlas, to analyze post mortem and in vivo data acquired on same subjects and then compare results obtained from all images.
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Submitted on : Tuesday, July 26, 2011 - 2:39:38 PM
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  • HAL Id : tel-00611488, version 1



Jessica Lebenberg. Automatisation et optimisation de l'analyse d'images anatomo-fonctionnelles de cerveaux de souris par atlas numérique 3D. Interface homme-machine [cs.HC]. Université Paris Sud - Paris XI, 2010. Français. ⟨tel-00611488⟩



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