Average Brain Models: A Convergence Study

Alexandre Guimond 1 Jean Meunier Jean-Philippe Thirion
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We present a completely automatic method to build «stable» average anatomical models of the human brain using a set of magnetic resonance (MR) images. The models computed present two important characteristics: an average intensity and an average shape, both in a single image. We provide results showing convergence toward the centroid of the image set used for the computation of the model. In particular, the RMS distances between the model and the MR images contained in the set stabilize in a range of 2.88mm to 3.36mm from a range of 4.62mm to 5.51mm initially after only one iteration. As for the influence of the reference image chosen for the model construction, this is minimal with differences of about 1.0mm, from approximately 3.5mm initially. These results ensure the usefulness of our approach.
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Rapport
RR-3731, INRIA. 1999
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Alexandre Guimond, Jean Meunier, Jean-Philippe Thirion. Average Brain Models: A Convergence Study. RR-3731, INRIA. 1999. 〈inria-00072934〉

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