Transformation of the volumetric data acquired through computerized tomography to three dimensional image by processing

Medical imaging techniques are widely used in the diagnosis and treatment processes in medicine. Hence, investigation and improvement of these techniques are very important in medicine and engineering fields.In this study, medical image reconstruction methods have been investigated, and some applications have been performed on the data acquired with computerized tomography as one of the medical imaging techniques. In the first stage, sinogram data (tomographic data) of tomographic images were obtained by using Radon Transform. In the second stage which is the main purpose of the study, for reconstructing these images, four different methods have been modeled in Matlab environment and using these models the images were reconstructed. The methods used in this study are as follows: i) filtered backprojection algorithm (FBP), ii) fan beam backprojection (FBBP) algorithm, iii) algebraic reconstruction techniques (ART), iv) simultaneous algebraic reconstruction technique (SART).The images acquired through these reconstruction algorithms have been compared and evaluated from the image quality and reconstruction time point of view. It was observed that the quality of images obtained via iterative methods are superior compared to direct methods, but deserve some problems due to reconstruction time and large scale image matrices.Then, the reconstruction algorithms have been modified, and applied to 34 tomographic sparse images. Using ?Volume Visualization? algorithm three dimensional images have been obtained and are qualitatively compared. The three dimensional images obtained via SART and FBP algorithms were better compared to other images.