Image Integration Procedures in Multisensory Medical Images: A Comprehensive Survey of the State-of-the-art Paradigms

Abstract

Background: Obtaining the medical history from a patient is a tedious task for doctors as it depends on a lot of factors which are difficult to keep track from a patient’s perspective. Doctors have to rely upon the technological tools to make a swift and accurate judgment about the patient’s health. Introduction: Out of many such tools, there are two special imaging modalities known as X-ray - Computed Tomography (CT) and Magnetic Resonance imaging (MRI) which are of a significant importance in the medical world assisting the diagnosis process. Method: The advancement in signal processing theory and analysis has led to design and implementation of large number of image processing and fusion algorithms. Each of these methods have evolved in terms in their terms of their computational efficiency and visual results over the years. Result: Various researches have revealed their properties in terms of their efficiency and outreach and it has been concluded that image fusion can be very suitable process that can help to compensate the drawbacks. Conclusion: In this manuscript, recent state-of-the-art techniques have been used to fuse these image modalities and established its need and importance in a more intuitive way with the help of a wide range of assessment parameters.