The comparison of image manifold method and volume estimation method in constructing 3D brain tumor image

Three dimensional (3D) image visualization is one of the important processes that extract information from the given two dimensional (2D) images. This study deals with the 3D object visualization via 2D images that included difference surfaces. The main objective of this work is to combine the conto...

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Bibliographic Details
Main Author: Abdul Wahab, Shamshiyatulbaqiyah
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/53447/25/ShamshiyatulbaqiyahAbdulWahabMFS2014.pdf
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Summary:Three dimensional (3D) image visualization is one of the important processes that extract information from the given two dimensional (2D) images. This study deals with the 3D object visualization via 2D images that included difference surfaces. The main objective of this work is to combine the contour of the brain tumor in 2D Magnetic Resonance Imaging (MRI) slices and reconstruct the 3D object. The fundamental research is based on the Alternating Operating Splitting and Geodesic Active Contour methods where these methods are used to detect the contour on a brain tumor MRI image. To combine these contours, we will apply Image Manifold method by using 3D Slicer Software and to calculate the volume of the 3D image, we will apply Volume Estimation method by using MATLAB. The objective of this study is to investigate the performance evaluation of some numerical methods for constructing 3D image and estimating the volume of the image. The obtained results indicate a good resolution of the reconstruction 3D image visualization process.