3D Volume Rendering Algorithm
Pravin P Kalyankar1, S S Apte2
1Pravin P Kalyankar, Department Of CSE, Dr. Bamu Aurangabad. TPCT COE Osmanabad, Indiaity, India.
2Dr. S S Apte, WIT Solapur, Department of CSE, Solapur University, India.
Manuscript received on May 12, 2013. | Revised Manuscript received on June 09, 2013. | Manuscript published on June 30, 2013. | PP: 268-270| Volume-2, Issue-5, June 2013. | Retrieval Number: E1790062513/2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents an analysis of the algorithms used for generating 3D structures from 2D CT-Scan Datasets. This is achieved by developing an implementation of Marching Cubes, a surface construction algorithm that’s currently the standard used for 3D surface construction in the medical visualization industry. Two techniques have been chosen to produce the 3D models. The first technique is known as Volume Rendering and the second technique is known as the Marching Cubes Algorithm. Both techniques use voxels (3D square pixels) to determine the 3D area to be constructed. The Marching Cubes (MC) algorithm by Lorensen and Cline is most popular algorithm for extraction of isosurface out of volume data. Several drawbacks of MC algorithm are solved by using new improved version of MC algorithm.
Keywords: Marching Cube, 3D surface reconstruction, isosurafce, Volume rendering, Medical imaging.