Projection-based denoising method for photon-counting energy-resolving detectors

Yanye Lu, Michael Manhart, Oliver Taubmann, Tobias Zobel, Qiao Yang, Jang Hwan Choi, Meng Wu, Arnd Doerfler, Rebecca Fahrig, Qiushi Ren, Joachim Hornegger, Andreas Maier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


In this paper, we present a novel projection-based novel noise reduction method for photon counting energy resolving detectors in Spectral Computed Tomography (CT) imaging. In order to denoise the projection data, a guidance image from all energy channels is computed, which employs a variant of the joint bilateral filter to denoise each energy bin individually. The method is evaluated by a simulation study of cone beam CT data. We achieve a reduction of noise in individual channels by 80% while at the same time preserving edges and structures well in the results, which indicate that the methods are applicable to clinical practice.

Original languageEnglish
Title of host publicationBildverarbeitung fur die Medizin 2015
Subtitle of host publicationAlgorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015
EditorsThomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer
PublisherKluwer Academic Publishers
Number of pages6
ISBN (Print)9783662462232
StatePublished - 2015
EventWorkshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications - Lubeck, Germany
Duration: 15 Mar 201517 Mar 2015

Publication series

NameInformatik aktuell
ISSN (Print)1431-472X


ConferenceWorkshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.


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