Abstract
The paper describes a method of fully automatic 3D-reconstruction of a mouse brain from a sequence of histological coronal 2D slices. The model is constructed via non-linear transformations between the neighboring slices and further morphing. We also use rigid-body transforms in the preprocessing stage to align the slices. Afterwards, the obtained 3D-model is used to generate virtual 2D-images of the brain in arbitrary section-plane. We use this approach to construct a high-resolution anatomic 3D-model of a mouse brain using well-known Allen Brain Atlas which is publicly available.
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Osokin, A., Vetrov, D., Kropotov, D. (2010). 3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas. In: Masulli, F., Peterson, L.E., Tagliaferri, R. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2009. Lecture Notes in Computer Science(), vol 6160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14571-1_22
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DOI: https://doi.org/10.1007/978-3-642-14571-1_22
Publisher Name: Springer, Berlin, Heidelberg
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