Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts
Résumé
We present a new tool for segmenting multiple sclerosis lesions that can take advantage of the complementary modalities we usually use for this purpose. Based on the integration of multi channel information in a scale-space paradigm, its optimization by graph cuts provides a powerful and accurate tool. After presenting the mathematical and physical background on which is based the spectral gradient, we introduce its computational optimization by the graph cuts approach. The validation on synthetic and real data shows both its accuracy and reliability on different sets of standard MRI of sequences.
Origine : Fichiers produits par l'(les) auteur(s)
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