3D Reconstruction and Visualization : a comparison between 2D, 3D CT Images

Authors(3) :-Pranav R. Mathapati, Dr. Anilkumar N. Holambe, Prof. Sushilkumar N. Holambe

In this paper, three-dimensional (3D) reconstruction and visualization of several 2D CT images based on MATLAB were investigated. The 3D visualization of CT images will provide the realistic 3D environment; which increases the efficiency of diagnosis and treatment in medicine. Here, the marching cubes algorithm was used for surface rendering and volume rendering. The splitting-box algorithm presented here which reduces the number of polygonal chains by adapting their size to the shape of the surface. The resulting polygonal chains offer a wide spectrum for representing the contour surface. An exact representation is achieved by a new type of generic patches calculated from the polygonal chains. Approximations of different quality may be obtained by combining the algorithm generating the patches with simple triangulations. Finally, 3D reconstruction of 2D CT images was done by using MATLAB programme.

Marching-cubes algorithm, 3D Construction, MATLAB, MRI images

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 203-209
Manuscript Number : IJSRSET162667
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Pranav R. Mathapati, Dr. Anilkumar N. Holambe, Prof. Sushilkumar N. Holambe, " 3D Reconstruction and Visualization : a comparison between 2D, 3D CT Images , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.203-209, November-December-2017.
Journal URL : http://ijsrset.com/IJSRSET162667

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