Talk: «Water And Fat Separation With Neural Network And Theoretical Signal Model»
Speaker: Juan Pablo Meneses Casanova. Graduate in Civil Electrical Engineering, PhD student in Engineering Sciences. Brief description: This project proposes to develop a neuronal network capable of returning, from acquisitions in different echo times, quantitative maps of water, fat and other parameters that influence the signal obtained. As an innovative aspect, a network architecture not observed in the existing literature until now will be used and the training of this network will be performed in an unsupervised way, using a cost function that includes the theoretical model of the MRI signal.