3-D Shape Reconstruction Based CT Image Enhancement

Abstract

Computed Tomography has become the diagnostic tool of choice in a wide variety of situations. Computed Tomography images show organ of interest at selected levels of the body. They are the visual equivalent of bloodless slices of anatomy, with each scan being a single slice. CT examinations produce detailed organ studies by stacking individual images. To analyze CT scanned images in depth, threedimensional (3-D) image surface reconstruction has been an important research area in computer vision. For minimizing the cost function of CT scanning and analyzing in depth, 3D image reconstruction method has a great potential to improve the image quality with noise reduction [1]. 2-D image reconstruction is an effective tool for medical specialist to analysis the medical scientific organs [2], which can help to improve the medical diagnostic accuracy greatly. Three dimensional tomography improves the sensitivity of the scanner in terms of shape reconstruction in such a way that photons traverse several slices and 3D reconstructed shape are also recovered [3, 4]. Another way to deal is use projection-based techniques to improve image quality [5]. In this case problems are reduced by improving 2D projection images obtained directly from the scanning device. Projections are processed in a way to reduce the problems in the resulting 3D volume. For that, reconstruction algorithm is applied to provide corrected projections in a 3D volume with reduced problems [6]. Analytic reconstruction