First steps toward the generation of PET/MR attenuation map in the case of prostate cancer

Congrès sous l’égide de la Société Française de Génie Biologique et Médical (SFGBM).National audienceA 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