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. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Kovacevic, N., Chen, J., Sled, J. G., Henderson, J., & Henkelman, M. (2004). Deformation based representation of groupwise average and variability. In Lecture Notes in Computer Science (Vol. 3216, pp. 615–622). Springer Verlag. https://doi.org/10.1007/978-3-540-30135-6_75
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