CONDUCTIVITY IMAGE RECONSTRUCTION APPARATUS AND METHOD BASED ON DEEP LEARNING FOR DIAGNOSIS OF ALZHEIMER'S DISEASES

摘要

The present invention relates to an artificial intelligence-based apparatus for reconstructing a conductivity image and a method therefor, wherein the apparatus for reconstructing a conductivity image according to an embodiment obtains B1 map information corresponding to a magnetic field B1 formed by an RF pulse applied to an object. An information obtaining unit, a preprocessing unit generating at least one differential set by differentiating a B1 phase signal corresponding to at least one pixel among a plurality of pixels corresponding to the obtained B1 map information, and receiving the differential set as an input It includes a conductivity learning unit that calculates a conductivity value learned through machine learning based on an artificial intelligence algorithm, and a conductivity map configuration unit that configures a conductivity map based on the learned conductivity value.