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2008

Edge-Preserving Denoising for Segmentation in CT-images

10 years 5 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In order to automate the time-consuming segmentation process denoising techniques are required, which can simultaneously remove the locally varying and oriented noise in computed tomography (CT) images and preserve edges of relevant structures. We analyze the suitability of different edge-preserving noise reduction methods to be used as a pre-processing step for Geodesic Active Contours (GAC) segmentation. Two popular methods, bilateral filtering and anisotropic diffusion, are compared to a wavelet-based approach, which is adjusted to the CT-specific noise characteristics. We show that robust segmentation results for different organs at varying noise levels can only be achieved using the wavelet-based denoising. Furthermore, the optimal selection of parameters for the bilateral filter and the anisotropic diffusion ...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where BILDMED
Authors Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Joachim Hornegger
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