Surface Smoothing: A Way Back in Early Brain Morphogenesis

Julien Lefèvre^{1, 2}, Victor Intwali³, Lucie Hertz-Pannier^{4, 5}, Petra S. Hüppi⁶, Jean-François Mangin⁵, Jessica Dubois⁷, and David Germanaud^{4, 5}

¹Aix-Marseille Univ, Département d’Informatique et Interractions, Marseille, France
julien.lefevre@univ-amu.fr

²CNRS, LSIS, UMR 7296, Marseille, France

³Ecole Centrale Marseille, France

⁴UMR 663, INSERM, Université Paris Descartes, Paris, France

⁵CEA, I2BM, DSV, NeuroSpin, Gif/Yvette, France

⁶Geneva University Hospitals, Department of Pediatrics, Switzerland

⁷U992, INSERM, NeuroSpin, Gif/Yvette, France

Abstract. In this article we propose to investigate the analogy between early cortical folding process and cortical smoothing by mean curvature flow. First, we introduce a one-parameter model that is able to fit a developmental trajectory as represented in a Volume-Area plot and we propose an efficient optimization strategy for parameter estimation. Second, we validate the model on forty cortical surfaces of preterm newborns by comparing global geometrical indices and trajectories of central sulcus along developmental and simulation time.

LNCS 8149, p. 590 ff.

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