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

doi:10.1007/978-3-662-46224-9_25

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

Division of Mechanical and Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

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 language	English
Title of host publication	Bildverarbeitung fur die Medizin 2015
Subtitle of host publication	Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015
Editors	Thomas Martin Deserno, Thomas Tolxdorff, Heinz Handels, Hans-Peter Meinzer
Publisher	Kluwer Academic Publishers
Pages	137-142
Number of pages	6
ISBN (Print)	9783662462232
DOIs	https://doi.org/10.1007/978-3-662-46224-9_25
State	Published - 2015
Event	Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications - Lubeck, Germany Duration: 15 Mar 2015 → 17 Mar 2015

Publication series

Name	Informatik aktuell
ISSN (Print)	1431-472X

Conference

Conference	Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications
Country/Territory	Germany
City	Lubeck
Period	15/03/15 → 17/03/15

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10.1007/978-3-662-46224-9_25

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Lu, Y., Manhart, M., Taubmann, O., Zobel, T., Yang, Q., Choi, J. H., Wu, M., Doerfler, A., Fahrig, R., Ren, Q., Hornegger, J., & Maier, A. (2015). Projection-based denoising method for photon-counting energy-resolving detectors. In T. M. Deserno, T. Tolxdorff, H. Handels, & H-P. Meinzer (Eds.), Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015 (pp. 137-142). (Informatik aktuell). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-662-46224-9_25

Lu, Yanye ; Manhart, Michael ; Taubmann, Oliver et al. / Projection-based denoising method for photon-counting energy-resolving detectors. Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. editor / Thomas Martin Deserno ; Thomas Tolxdorff ; Heinz Handels ; Hans-Peter Meinzer. Kluwer Academic Publishers, 2015. pp. 137-142 (Informatik aktuell).

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title = "Projection-based denoising method for photon-counting energy-resolving detectors",

abstract = "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.",

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

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications ; Conference date: 15-03-2015 Through 17-03-2015",

year = "2015",

doi = "10.1007/978-3-662-46224-9_25",

language = "English",

isbn = "9783662462232",

series = "Informatik aktuell",

publisher = "Kluwer Academic Publishers",

pages = "137--142",

editor = "Deserno, {Thomas Martin} and Thomas Tolxdorff and Heinz Handels and Hans-Peter Meinzer",

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}

Lu, Y, Manhart, M, Taubmann, O, Zobel, T, Yang, Q, Choi, JH, Wu, M, Doerfler, A, Fahrig, R, Ren, Q, Hornegger, J & Maier, A 2015, Projection-based denoising method for photon-counting energy-resolving detectors. in TM Deserno, T Tolxdorff, H Handels & H-P Meinzer (eds), Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. Informatik aktuell, Kluwer Academic Publishers, pp. 137-142, Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications, Lubeck, Germany, 15/03/15. https://doi.org/10.1007/978-3-662-46224-9_25

Projection-based denoising method for photon-counting energy-resolving detectors. / Lu, Yanye; Manhart, Michael; Taubmann, Oliver et al.
Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. ed. / Thomas Martin Deserno; Thomas Tolxdorff; Heinz Handels; Hans-Peter Meinzer. Kluwer Academic Publishers, 2015. p. 137-142 (Informatik aktuell).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Projection-based denoising method for photon-counting energy-resolving detectors

AU - Lu, Yanye

AU - Manhart, Michael

AU - Taubmann, Oliver

AU - Zobel, Tobias

AU - Yang, Qiao

AU - Choi, Jang Hwan

AU - Wu, Meng

AU - Doerfler, Arnd

AU - Fahrig, Rebecca

AU - Ren, Qiushi

AU - Hornegger, Joachim

AU - Maier, Andreas

PY - 2015

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N2 - 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.

AB - 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.

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SP - 137

EP - 142

BT - Bildverarbeitung fur die Medizin 2015

A2 - Deserno, Thomas Martin

A2 - Tolxdorff, Thomas

A2 - Handels, Heinz

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T2 - Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications

Y2 - 15 March 2015 through 17 March 2015

ER -

Lu Y, Manhart M, Taubmann O, Zobel T, Yang Q, Choi JH et al. Projection-based denoising method for photon-counting energy-resolving detectors. In Deserno TM, Tolxdorff T, Handels H, Meinzer H-P, editors, Bildverarbeitung fur die Medizin 2015: Algorithmen - Systeme - Anwendungen, Proceedings des Workshops, 2015. Kluwer Academic Publishers. 2015. p. 137-142. (Informatik aktuell). doi: 10.1007/978-3-662-46224-9_25

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

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