@inproceedings{884f268f13164fdcbf21f843dcef1b64,
title = "Artifacts suppression in biomedical images using a guided filter",
abstract = "Despite significant progress in computer vision, pattern recognition, and image analysis, artifacts in imaging still hampers the progress in many scientific fields relying on the results of image analysis. We here present an advanced image-based artifacts suppression algorithm for high-resolution tomography. The algorithm is based on guided filtering of a reconstructed image mapped from the Cartesian to the polar coordinates space. This postprocessing method efficiently reduces both ring- and radial streak artifacts in a reconstructed image. Radial streak artifacts can appear in tomography with an off-center rotation of a large object over 360 degrees used to increase the reconstruction field of view. We successfully applied the developed algorithm for improving x-ray phase-contrast images of human post-mortem pineal gland and olfactory bulbs.",
keywords = "Guided filter, Olfactory bulb, Orthotropic artifacts, Pineal gland, Polar coordinates, Radial streak artifacts, Ring artifacts",
author = "I. Bukreeva and A. Ingacheva and M. Fratini and A. Cedola and O. Junemann and E. Longo and F. Wilde and J. Moosmann and A. Buzmakov and Y. Krivonosov and D. Zolotov and S. Saveliev and V. Asadchikov and M. Chukalina",
note = "Funding Information: The bilateral project CNR/RFBR (2018-2020) - accordo CNR-RFBR delle Relazioni Internazionali (CUP B86C17000210005) & Russian number 18-52-7819), the FISR Project “Tecnopolo di nanotecnologia e fotonica per la medicina di precisione” (funded by MIUR/CNR, CUP B83B17000010001) and the TECNOMED project (funded by Regione Puglia, CUP B84I18000540002) are acknowledged for financial support. This work was partially supported by RFBR (grant 18-29-26028). We also thank the Ministry of Science and Higher Education of Russian Federation within the State assignment FSRC «Crystallography and Photonics» RAS for financial supporting our work on tomography algorithms development. M. Fratini acknowledges the Italian Ministry of Health Young Researcher Grant 2013 (GR-2013-02358177) for financial support. Publisher Copyright: {\textcopyright} 2021 SPIE.; 13th International Conference on Machine Vision, ICMV 2020 ; Conference date: 02-11-2020 Through 06-11-2020",
year = "2020",
doi = "10.1117/12.2587571",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wolfgang Osten and Nikolaev, {Dmitry P.} and Jianhong Zhou",
booktitle = "13th International Conference on Machine Vision, ICMV 2020",
address = "United States",
}