Abstract
This paper presents a novel method for creating an unbiased and geometrically centered average from a group of images. The morphological variability of the group is modeled as a set of deformation fields which encode differences between the group average and individual members. We demonstrate the algorithm on a group of 27 MR images of mouse brains. The average image is highly resolved as a result of excellent groupwise registration. Local and global groupwise variability estimates are discussed.
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Kovacevic, N., Chen, J., Sled, J.G., Henderson, J., Henkelman, M. (2004). Deformation Based Representation of Groupwise Average and Variability. 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_75
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DOI: https://doi.org/10.1007/978-3-540-30135-6_75
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