Abstract
The cerebral cortex is composed of regions with distinct laminar structure. Functional neuroimaging results are often reported with respect to these regions, usually by means of a brain “atlas”. Motivated by the need for more precise atlases, and the lack of model-based approaches in prior work in the field, this paper introduces a novel approach to parcellating the cortex into regions of distinct laminar structure, based on the theory of target tracking. The cortical layers are modelled by hidden Markov models and are tracked to determine the Bayesian evidence of layer hypotheses. This model-based parcellation method, evaluated here on a set of histological images of the cortex, is extensible to 3-D images.
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Adamson, C., Johnston, L., Inder, T., Rees, S., Mareels, I., Egan, G. (2005). A Tracking Approach to Parcellation of the Cerebral Cortex. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566465_37
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DOI: https://doi.org/10.1007/11566465_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29327-9
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