A Review on Radiomic Analysis for Medical Imaging

Abstract

Medical imaging is one of the most important aspects of medical diagnosis and disease detection. Various medical imaging techniques include ultrasounds, X-ray imaging, MRI scans, CT scans and positron emission tomography (PET) including nuclear medical imaging. More than often, these imaging techniques are enough to decipher the disease but in certain cases, they do not offer enough evidence. In these cases when the disease is finally detected, then either it is too late to cure or the patient is in much agony the whole time without a proper cure. Radiomics is one of such technologies that helps in detection of such diseases in the early stages as it can deter the characteristics which cannot be seen by naked eye. This is done by using data characterization algorithms which extracts large amount of information from medical images. These features check for potential disease-causing symptoms, and hence personalized therapeutic response can be provided to the patient at a very early stage of the disease, thus actually saving a life. Radiomics was originally developed for tumor detection or oncology but now can be extended to any disease detection that uses medical images.