Robust Classification of Fat and Water Images from 1-point-Dixon Reconstructions

摘要

Dixon methods in magnetic resonance imaging generate MRI images that may contain at least two tissue components such as fat and water. Dixon methods generate images containing both tissue components and predominantly one tissue component. A first segmentation of a first tissue component is generated in a T1 weighted image. The segmentation is correlated with at least a first and a second Dixon image. The image with the highest correlation is assigned the first tissue component.