T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks

Abstract

Input resolution and image size affect the accuracy of prediction. The proposed model and approach of prediction framework can help improve the versatility and quality of multi-contrast MRI tests without the need for prolonged examinations.