Abstract
We propose a procedure for generating a brain atlas with mean morphology and mean intensity by state-of-the-art non-rigid registration of a database of MR images of normal brains. The new constructed atlas is much sharper that currently available linear atlases, as the residual inter-subject shape variability after both linear and subsequent non-linear normalization is retained. As a consequence, the resulting atlas is suited as a mean shape template for brain morphometry approaches that are based on non-rigid atlas-to-subject image registration.
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Seghers, D., D’Agostino, E., Maes, F., Vandermeulen, D., Suetens, P. (2004). Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30135-6_85
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DOI: https://doi.org/10.1007/978-3-540-30135-6_85
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