Image registration techniques using parallel computing in multicore environment and its applications in medical imaging: An overview

Image Registration is the key step of Image Processing as it is the process to locate most accurate relative orientation among two or more images, captured at the same or different times by distinguishable or indistinguishable sensors to increase the information content. For speed optimization of Image Registration, There have been developed numerous approaches till now based on CPU platforms, GPU, CUDA Programming Models etc. Purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods based on parallel computing in Multi core architecture. Another considerable intention of this paper is to describe the various applications of image registration using parallel computing in Medical imaging as it can be applied for different modalities of medical images.