Abstract: Embodiments of the present application provide a medical image synthesis device and method. According to an embodiment, a method includes acquiring a first medical image and a second medical image and registering the first medical image with the second medical image. The method includes determining a first parameter value at each pixel location on the registered first medical image and a second parameter value at each pixel location on the second medical image. The method includes multiplying the first parameter value with the second parameter value at the same pixel location on the registered first medical image and the second medical image and generating synthetic image data based on the multiplication result.

Abstract: A cerebral stroke early assessment system for cerebral stroke early assessment, comprising a preprocessing module, configured to preprocess an acquired brain medical image set; a brain partitioning module, configured to perform brain region segmentation on the preprocessed brain medical image set, the brain partitioning module comprising an image segmentation neural network and the image segmentation neural network being trained with the aid of an auto-encoder; and a scoring module, configured to perform scoring on the basis of a brain partition image obtained by the brain partitioning module. The present disclosure can improve the segmentation accuracy of brain partition images and the accuracy of cerebral stroke early assessment.