Image processing system and method thereof for early detection of ischemic core of ischemic stroke patient

Abstract

An image processing method thereof for early detection of ischemic core of ischemic stroke patient includes a model training phase and a model inference phase. In the model training phase, it first generates a pseudo diffusion-weighted MR imaging (DWI) and a generator loss according to a non-contrast-enhanced CT (NCCT) image for training; then, it generates a discriminator loss and a discriminator result according to a DWI for training and the first pseudo-DWI; then, it judges whether to end the model training phase according to the generator loss and the discriminator loss, and if so, ends the model training phase and obtains a set of parameters for inference phase, and if not, updates the parameters used in the model training phase. In the model inference phase, it generates a pseudo DWI according to an NCCT image and the set of parameters for the inference phase.