Enhancing Brain Imaging Using Super Resolution

Abstract

Super-resolution reconstruction creates one or more high-resolution images from a collection of low-resolution frames. This chapter examines a number of super-resolution methods proposed over the last two decades and provides an overview of the contributions made recently to the broad super-resolution problem. During the procedure, a thorough examination of numerous crucial elements of super-resolution is presented, which are frequently overlooked in the literature. The authors have also outlined various advancements and studies that have been done in the particular domain. The prime focus of this chapter is to highlight the importance and application of super resolution in brain MRI and explore all the work that has been done in the field so far. The experiments on simulated and actual data are used to support novel strategies for tackling the difficulties faced while implementing the technique. Finally, several prospective super-resolution difficulties are identified, and methodologies are presented.