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Segmentation of Computed Tomography 3D Images Using Partial Differential Equations

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4 Author(s)
Aleman-Flores, M. ; Dept. de Inf. y Sist., Univ. de Las Palmas de Gran Canaria, Las Palmas, Spain ; Alvarez, L. ; Aleman-Flores, P. ; Fuentes-Pavon, R.

The analysis of medical images, such as Computed Tomography (CT) Images, increasingly requires an automatic processing for region enhancement, segmentation, 3D reconstruction and many other purposes. This paper presents a framework for performing these tasks using partial differential equations in 3D images. From a set of partial differential equations, we obtain a method for noise reduction filtering with edge preservation, region enhancement through the discrimination of the relevant density values, contour refinement and 3D reconstruction.

Published in:

Signal-Image Technology and Internet-Based Systems (SITIS), 2011 Seventh International Conference on

Date of Conference:

Nov. 28 2011-Dec. 1 2011