Analysis of Medical Image Processing and its Applications in Healthcare Industry

Medical image processing needs continuous enhancements in terms of techniques and applications to help improve quality of services in health care industry. The techniques used for interpolation, image registration, compression, medical diagnosis are to be improved to be abreast with growing demands in the industry and emerging technologies pertaining to mobile computing and cloud computing. In this paper we present the present state-of-the-art of medical image processing and its abilities to harness the hardware resources including ever growing GPGPU platforms for improving quality of clinical practices in terms of speed, accuracy, innovation, and globalization and so on. From the analysis of the literature it is understood that the health care domain has got much scope for further research in the areas of diagnosing life threatening diseases, usage of remote health monitoring applications for real time functioning to alert healthcare personnel. The integration of medical equipment and applications with wearable devices is also promising area for further research. This paper provides useful insights into the field of medical image processing and tries to define the future scope of work. Index Terms – Medical image processing (MIP), medical diagnosis, MIP methods and applications