Medical Image Visualization provides a better visualization for doctors in clinical diagnosis, surgery operation, leading treatment and so on. It aims at a visual representation of the full dataset, of all images at the same time. The main issue is to select the most appropriate image rendering method, based on the acquired data and the medical relevance. The paper presents a review of some significant work in the area of volumetric visualization. An overview of various algorithms and analysis are provided with their assumptions, advantages and limitations, so that the user can choose the better technique to detect particular defects in any small region of the body parts which helps the doctors for more accurate and proper diagnosis of different medical ailments.