Analytic noise propagation for anisotropic denoising of ct images
Borsdorf A, Kappler S, Raupach R, Hornegger J (2008)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2008
Journal
Original Authors: Borsdorf A., Kappler S., Raupach R., Hornegger J.
Book Volume: null
Pages Range: 5335-5338
Event location: Dresden
Journal Issue: null
DOI: 10.1109/NSSMIC.2008.4774438
Abstract
In X-ray Computed Tomography (CT) the measured projections and consequently the reconstructed CT images are subject to quantum and electronics noise. While noise in the projections can be well described and estimated with a corresponding physics model, the distribution of noise in the reconstructed CT images is not directly evident. Due to attenuation variations along different directions, the nature of noise in CT images is nonstationary and directed. This complicates the direct application of standard post-processing methods like bilateral filtering. this article we describe a possibUity to compute precise orientation dePendent noise estimates for every pixel position. This is done by analytic propagation of projection noise estimates through indirect fan-beam filtered backprojection reconstruction. The resulting orientation dePendent image noise estimates are subsequently used in adaptive bUateral filters. Taking into account the non-stationary and non-isotropic nature of noise in CT images, an averag improvement in SNR of about 60% is achieved compared to linear filtering at the same resolution. ©2008 IEEE.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Borsdorf, A., Kappler, S., Raupach, R., & Hornegger, J. (2008). Analytic noise propagation for anisotropic denoising of ct images. In Proceedings of the 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008 (pp. 5335-5338). Dresden.
MLA:
Borsdorf, Anja, et al. "Analytic noise propagation for anisotropic denoising of ct images." Proceedings of the 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008, Dresden 2008. 5335-5338.
BibTeX: Download