Treffer: Surface Reconstruction from Computed Tomography (CT) Image of Human Head with the Effect of Noise.

Computed Tomography (CT) is a diagnostic imaging test to examine internal organs, bones, soft tissue and blood vessels. In image, quality cannot be compromised as it could affect the diagnosis results during examination stage. Hence, digital image processing can be implemented in order to improve the image quality for better analysis results. The aims of this paper are to detect and extract the contour of each slice CT image that produced data points, calculate the distance error of the extracted data points and implement the 3D surface reconstruction. The study of noise behavior and effect on surface is really important for image enhancement area. In this study, a human head from multi slices CT scan images is used for implementation purposes. Iterative image reconstruction of beta-spline curve fitting is introduced as reconstruction algorithm. The developed algorithms are implemented using MATLAB R2016a. A noise is introduced on each slice of CT image in order to evaluate the performance of the developed algorithm. Results show that the surface reconstruction algorithm is successfully implemented on a set of CT scan image with the existence of noise. [ABSTRACT FROM AUTHOR]

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