Title: Tomographic 3D cranio-facial reconstruction using curvelet transform

Authors: R. Menaka; C. Chellamuthu; R. Karthik

Addresses: School of Electrical and Electronics, VIT University, Chennai, India ' Department of Electrical and Electronics, RMK Engineering College, Chennai, India ' Department of Information Technology, Anna University, Chennai, India

Abstract: An effective technique for three dimensional reconstruction of craniofacial structure from the contours of CT slices is presented. Preprocessing is done to suppress the noise and distortion introduced during image acquisition. Discrete Curvelet transform is applied to extract the contours of individual slices. The edge points are stacked to obtain the 3D point cloud and it is Delaunay triangulated for reconstruction. The edge detection performance is compared with Laplacian, Sobel and Canny edge detectors. The final reconstructed 3D structure is compared with those edge-detector-based reconstruction (with the same set of 2D slices) on the basis of number of triangular indices and time complexity.

Keywords: discrete curvelet transform; multi-resolution; frequency domain; point cloud; computed tomography; 3D reconstruction; cranio-facial reconstruction; edge detection; medical imaging; CT images.

DOI: 10.1504/IJBET.2012.048819

International Journal of Biomedical Engineering and Technology, 2012 Vol.9 No.3, pp.201 - 212

Published online: 12 Dec 2014 *

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