Development of Multimodal Fusion Technique for Medical Images

Abstract

Imaging technology plays a vital role in medical imaging, diagnosis and treatment using different modalities in imaging devices. Unfortunately, a single imaging device cannot create information rich images synchronously at the same time due to the difference between the fundamental imaging principles of these modalities. As a result, medical professionals have to spend a lot of energy and time to analyze the complete medical data information gathered from multiple devices. Hence a multimodal image fusion method is required in order to enhance the medical images which further can help medical professionals provide an accurate diagnosis in a timely manner. For which, we have gone thoroughly through the existing state-of-art techniques related to Medical Image Fusion and designed a multi-modal Image Fusion Technique based on GAN in order to enhance the quality of the medical image for better diagnosis of diseases and perform comparative evaluation and validation of proposed techniques using the standard datasets.