The motivation of this work is to register MR(magnet-resonance) brain tumor images with a brain atlas. Such a registration method can make possible the pooling of data from different brain tumor patients into a common stereotaxic space. The shape, size and location of the initial seed are critical for achieving topological equivalence between the atlas and patients images. We focus on the automatic estimation of these parameters, pertaining to tumor simulation and propose an objective function reflecting feature-based similarity and elastic stretching energy and optimize it with APPSPACK (Asynchronous Parallel Pattern Search), for achieving significant reduction of the computational cost.
