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A Novel Trilateral Filter for Digital Subtraction Angiography

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Bildverarbeitung für die Medizin 2021

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

In this paper, we formulate a novel Trilateral Filter (TF) for denoising digital subtracted angiography (DSA) without losing any vessel information. The harmful effect of X-rays limits the dose resulting in degraded signal-to-noise ratio (SNR). A bilateral filter (BF) is often applied for edge-preserving denoising. However, for a low SNR image, the filter needs to be iterated with smaller spatial window to avoid oversmoothing of low-contrast vessels. The proposed TF combines the BF of wider spatial window with the Frangi vessel enhancement filter to denoise the DSA and to improve the vessel visibility without the need for iteration. The experimental results shows that our method provides better vessel preservation and greater noise reduction than the BF.

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Correspondence to Purvi Tripathi .

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© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Tripathi, P., Obler, R., Maier, A., Janssen, H. (2021). A Novel Trilateral Filter for Digital Subtraction Angiography. In: Palm, C., Deserno, T.M., Handels, H., Maier, A., Maier-Hein, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2021. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-33198-6_75

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