Evaluation des méthodes d'extraction des orientations locales des faisceaux de fibres par analyse quantitative de la connectivité

Abstract : Recovering of the fiber orientations in each voxel constitutes an important step for the fiber tracking algorithms. In fact, the reliability of the resulted connectivity depends on how well the local fiber orientations were extracted. Based on the tractography results we evaluated and compared different methods of fiber orientations extraction. Thus, we analyzed quantitatively the resulted connectivity by using the Tractometer tool. This later allows by measuring a number of metrics to quantify the connections reliability and the tractography performance. All the methods of fiber orientations extraction were evaluated on two types of tractography algorithms, deterministic and probabilistic algorithms. Furthermore, all of these methods have been executed on two types of data, high angular resolution data acquired with 60 gradient directions and low angular resolution data, acquired with 30 gradient directions. These two types of data were corrupted with a Ricien noise of ratio SNR=20, 10. In this article, we present the results obtained by our validation and comparison work.
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Thinhinane Megherbi, Gabriel Girard, Maxime Descoteaux, Fatima Oulebsir Boumghar, Rachid Deriche. Evaluation des méthodes d'extraction des orientations locales des faisceaux de fibres par analyse quantitative de la connectivité. Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16) , Jun 2016, Clermont-Ferrand, France. ⟨hal-01354106⟩

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