First steps toward the generation of PET/MR attenuation map in the case of prostate cancer
Résumé
A new methodology providing the first step towards the generation of attenuation maps for PET/MR systems based solely on MR information is presented in this paper. From T1-and T2-weighted MR data set and anatomical-based knowledge, our method segments and classifies the attenuation-differing regions of the patient's pelvis using a robust implementation of the weighted fuzzy C-means algorithm. Providing no signal, particular process is performed for the bones. We have demonstrated the feasibility of this approach by correctly segmenting and classifying six attenuation-differing regions on images at the level of the pelvis: fat, muscle, prostate, air, background and bones.
Domaines
Ingénierie biomédicale
Origine : Fichiers produits par l'(les) auteur(s)
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