A fat quantification approach based on longitudinal relaxation time

The quantification of fat in humans is plays an important role in clinical diagnosis and scientific research. Especially in some cardiomyopathy characterized by fat deposition like arrhythmogenic right ventricular cardiomyopathy, and duchenne muscular dystrophy-associated cardiomyopathy. Current magnetic resonance imaging-based fat quantification methods have difficulty to characterizing cardiac etc. fat fractions. But the application of cardiac T1 mapping has been very extensive, and our proposed approach to build a partial volume model to utilize the T1 value of voxel obtained by T1 mapping can complete the measurement of cardiac fat content.