Rapid generation of biexponential and diffusional kurtosis maps using multi-layer perceptrons: a preliminary experience

摘要

Object To investigate whether multi-layer perceptrons (MLPs) could be used to determine biexponential and diffusional kurtosis model parameters directly from diffusion-weighted images.Materials and methods Model parameters were determined with least-squares fitting and with MLPs. The corresponding estimates were compared with linear regressions, t tests and Levene’s tests. Residuals were also compared.