Automatic Marching Cubes for Medical Images Reconstruction

Automatic Marching Cubes for Improving 3D Medical Images Reconstruction PDF Download

Farah Fekraoui, Mohamed Chaouki Babahenini, LISIA laboratory, Department of Computer Science
Biskra University, Biskra, Algeria.

ABSTRACT:

The Marching Cubes algorithm is based on the estimate of the iso value in order to determine all the pixels that are belonging to the volume to be reconstructed. This estimation is done by the user in an interactive and way without any orientation; this is no longer an intuitive process. Solutions are proposed to detect more than one iso value and have been used to display multiple iso surfaces and not to adjust or automatically determine iso value. Other solutions propose to explore histogram to estimate isovalue automatically; those remain insufficient because they still require user intervention.

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The proposed method acts directly in the isovalue estimation phase. In fact, we propose to make this estimate by using automatic methods of sampling, which have shown their performance in estimating a threshold in several works. This paper proposes to make the use of existing automated isovalue selection methods that take into account histogram and the dynamics of the image.
The automatic Marching Cubes algorithm reduces user interaction and makes the selection process more intuitive. The obtained results will show that this adaptation minimizes the computing time and that the obtained volumes are of better quality than those obtained by the classical Marching Cubes algorithm.

Keywords:

3D Reconstruction, Marching Cubes Algorithm, Automatic Marching Cubes, Automatic Isovalue Selection, Medical Image, Otsu’s Algorithm,

Automatic Marching Cubes for Medical Images Reconstruction

Automatic Marching Cubes for Improving 3D Medical Images Reconstruction PDF Download

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