Ray Casting Based Volume Rendering of Medical Images

The goal of 3-𝐷 visualization is to provide the user with an intuitive interface which enables him to explore the 3-𝐷 data. The rapid development in information technology has immensely contributed to the use of modern approaches for visualizing volumetric data. Consequently, medical volume visualization is increasingly attracting attension towards achieving an effective visualization algorithm for medical diagnosis and pretreatment planning. Previously, research has been addressing implementation of algorithm that can visualize 2-𝐷 images into 3-𝐷. 𝑀eanwhile, in medical diagnosis, finding the exact diseases location is an important step of surgery / disease management. For 3-𝐷 Medical Data, Magnetic Resonance Images (MRI) have been used to create the 3-𝐷 model, we used the Direct Volume Rendering technique. This paper proposes a ray casting algorithm for accurate allocation and localization of human abdomen abnormalities using magnetic resonance images abdomen MRI) of normal and abnormal patients.