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Title: 3D digital reconstruction of brain tumor from MRI scans using Delaunay triangulation and patches
Authors: A. Sakthi Bharathi, D. Manimegalai
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 20
Language: English
In this paper we present two approaches to reconstruct 3D shapes of brain tumors from MRI images. The first approach is reconstruction of 3D images from set of 2D segmented slices of MRI brain by using thresholding and morphological operations; contour plot and patches. The second approach is a better one wherein we reconstruct a tumor by using same segmentation process and altering the 3D reconstruction algorithm that uses sobel operator, boundary extraction, Delaunay triangulation and alpha shapes. The volume to area ratio of the tumor and the distance between points on head and the points on tumor is estimated. Delaunay Triangulation affords distinct advantages, such as: its ability to describe the surface at different levels of resolution, efficiency in storing data, ease of storage and manipulation, easy integration with raster databases, smoother, more natural appearance of derived terrain features. However, we also encounter a few disadvantages such as: in many cases it requires visual inspection and manual control of the network, various grid sizes cannot be used to reflect areas of different complexity of relief.
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