Article: A smooth three-dimensional reconstruction of human head from minimally selected computed tomography slices Journal: International Journal of Computer Aided Engineering and Technology (IJCAET) 2019 Vol.11 No.4/5 pp.578 - 600 Abstract: Three-dimensional reconstruction has been deeply investigated by researchers all over the world. This is a comprehensive effort to find an effective interpolation technique which can provide an accurate and enhanced three-dimensional reconstruction of human head from a select set of computed tomography slice data. Based on structural similarity measurement, a set of slices is selected and segmented using phase field segmentation. Keeping these segmented slices as base, the intermediate slices are re-created using linear and modified curvature registration based interpolation and the results are compared. To further enhance the result and provide a better reconstruction, we apply a refinement process using modified Cahn-Hilliard equation to the interpolated slices. The results are validated both quantitatively and qualitatively. Results show that modified curvature registration based interpolation with our proposed refinement outperforms linear interpolation with refinement providing a simultaneous improvement in sensitivity (95.95%) and specificity (95.94%) with an accuracy of more than 96% and minimal mean square error. Inderscience Publishers - linking academia, business and industry through research

Title: A smooth three-dimensional reconstruction of human head from minimally selected computed tomography slices

Authors: A.A. Haseena Thasneem; M. Mohamed Sathik; R. Mehaboobathunnisa

Addresses: Research Department of Computer Science, Sadakathullah Appa College, Tirunelveli, India ' Sadakathullah Appa College, Tirunelveli, India ' Research Department of Computer Science, Sadakathullah Appa College, Tirunelveli, India

Abstract: Three-dimensional reconstruction has been deeply investigated by researchers all over the world. This is a comprehensive effort to find an effective interpolation technique which can provide an accurate and enhanced three-dimensional reconstruction of human head from a select set of computed tomography slice data. Based on structural similarity measurement, a set of slices is selected and segmented using phase field segmentation. Keeping these segmented slices as base, the intermediate slices are re-created using linear and modified curvature registration based interpolation and the results are compared. To further enhance the result and provide a better reconstruction, we apply a refinement process using modified Cahn-Hilliard equation to the interpolated slices. The results are validated both quantitatively and qualitatively. Results show that modified curvature registration based interpolation with our proposed refinement outperforms linear interpolation with refinement providing a simultaneous improvement in sensitivity (95.95%) and specificity (95.94%) with an accuracy of more than 96% and minimal mean square error.

Keywords: structural similarity measure; phase field segmentation; PFS; curvature registration based interpolation; three dimensional reconstruction; computed tomography head slices.

DOI: 10.1504/IJCAET.2019.100451

International Journal of Computer Aided Engineering and Technology, 2019 Vol.11 No.4/5, pp.578 - 600

Received: 02 Mar 2017
Accepted: 21 Jun 2017
Published online: 29 Jun 2019 *

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Title: A smooth three-dimensional reconstruction of human head from minimally selected computed tomography slices

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