apport de recherche N 0249-6399Unité de recherche INRIA Sophia Antipoli

Maxime Descoteaux

Projet Odyssée

Rachid Deriche

Thème Bio

In this article we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmonic (SH) method. Then, we use a region-based statistical surface evolution on this image of ODFs to efficiently find coherent white matter fiber bundles. We show that our method is appropriate to propagate through regions of fiber crossings and we show that our results outperform state-of-the-art diffusion tensor (DT) imaging segmentation methods, inherently limited by the DT model. Results obtained on synthetic data, on a biological phantom, on real datasets and on all 13 subjects of a public QBI database show that our method is reproducible, automatic and brings a strong added value to diffusion MRI segmentation

Descoteaux, Maxime

Deriche, Rachid

HAL-Ecole des Ponts ParisTech

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution

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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.500

Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution

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HAL-Ecole des Ponts ParisTech

INRIA a CCSD electronic archive server

HAL-Rennes 1