Three-Dimensional Medical CT Image Reconstruction

In this paper, it is provided to reconstruct three dimensional(3D) models of human body by using CT slices and digital images and precisely finding locations of pathological formations such as tumours. 3D image CT reconstruction is an attractive field generally in digital image processing techniques, especially in biomedical imaging. It has been strongly developed and practically implemented in almost every modern tomographical modalities but there are many problems which still remain unresolved or can be improved. A project in such area has been alternatively developed in order to master mentioned technology and to develop domestic products partially substituted for very expensive imported facilities and softwares. This paper introduces the implementing fundamental problems in 3D medical image reconstruction for medical imaging such as Marching Cubes (MC) algorithms, usual rendering technique, etc. and designing a software for reconstructing 3D image from a set of CT images, which was built on VTK (Visualization Toolkit) and Visual C++. The result show that the reconstruction program can help to reconstruct series of 2D segmented binary images and display the 3D image of the target object.