Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts

Maik Stille; Christian Ziemann; Florian Cremers; Dirk Rades; Thorsten M. Buzug

doi:10.1007/978-3-662-56537-7_92

Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts

Maik Stille^*, Christian Ziemann, Florian Cremers, Dirk Rades, Thorsten M. Buzug

^*Corresponding author for this work

Abstract

Metal implants are able to cause severe artefacts in CT images due to physical effects such as scattering, total absorption, noise, or beamharding. Typically, the reconstructed images feature dark shadows around high-density objects as well as bright and dark streaks that may reduce the diagnostic value drastically. Within an extensive evaluation, the novel algorithm Augmented Likelihood Image Reconstruction has proven to reduce occurring artefacts accurately [1].

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2018
Editors	Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff
Number of pages	1
Publisher	Springer Vieweg, Berlin Heidelberg
Publication date	21.02.2018
Pages	371-371
ISBN (Print)	978-3-662-56536-0
ISBN (Electronic)	978-3-662-56537-7
DOIs	https://doi.org/10.1007/978-3-662-56537-7_92
Publication status	Published - 21.02.2018
Event	Bildverarbeitung für die Medizin 2018 - Lehrstuhl für Mustererkennung, Erlangen, Germany Duration: 11.03.2018 → 13.03.2018 https://www.springer.com/us/book/9783662565360 http://www.bvm-workshop.org

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

Academic Focus: Biomedical Engineering

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10.1007/978-3-662-56537-7_92

Cite this

Stille, M., Ziemann, C., Cremers, F., Rades, D., & Buzug, T. M. (2018). Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts. In A. Maier, T. M. Deserno, H. Handels, K. H. Maier-Hein, C. Palm, & T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2018 (pp. 371-371). (Informatik aktuell). Springer Vieweg, Berlin Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_92

Stille, Maik ; Ziemann, Christian ; Cremers, Florian et al. / Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts. Bildverarbeitung für die Medizin 2018. editor / Andreas Maier ; Thomas M. Deserno ; Heinz Handels ; Klaus Hermann Maier-Hein ; Christoph Palm ; Thomas Tolxdorff. Springer Vieweg, Berlin Heidelberg, 2018. pp. 371-371 (Informatik aktuell).

@inproceedings{ce6adc6525cc44b78533715a2b110545,

title = "Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts",

abstract = "Metal implants are able to cause severe artefacts in CT images due to physical effects such as scattering, total absorption, noise, or beamharding. Typically, the reconstructed images feature dark shadows around high-density objects as well as bright and dark streaks that may reduce the diagnostic value drastically. Within an extensive evaluation, the novel algorithm Augmented Likelihood Image Reconstruction has proven to reduce occurring artefacts accurately [1].",

author = "Maik Stille and Christian Ziemann and Florian Cremers and Dirk Rades and Buzug, \{Thorsten M.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag GmbH Deutschland 2018. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; Bildverarbeitung f{\"u}r die Medizin 2018 ; Conference date: 11-03-2018 Through 13-03-2018",

year = "2018",

month = feb,

day = "21",

doi = "10.1007/978-3-662-56537-7\_92",

language = "English",

isbn = "978-3-662-56536-0",

series = "Informatik aktuell",

publisher = "Springer Vieweg, Berlin Heidelberg",

pages = "371--371",

editor = "Maier, \{Andreas \} and Deserno, \{Thomas M. \} and Handels, \{Heinz \} and Maier-Hein, \{Klaus Hermann \} and Palm, \{Christoph \} and Tolxdorff, \{Thomas \}",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2018",

url = "https://www.springer.com/us/book/9783662565360, http://www.bvm-workshop.org",

}

Stille, M, Ziemann, C , Cremers, F , Rades, D & Buzug, TM 2018, Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts. in A Maier, TM Deserno, H Handels, KH Maier-Hein, C Palm & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2018. Informatik aktuell, Springer Vieweg, Berlin Heidelberg, pp. 371-371, Bildverarbeitung für die Medizin 2018, Erlangen, Germany, 11.03.18. https://doi.org/10.1007/978-3-662-56537-7_92

Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts. / Stille, Maik; Ziemann, Christian ; Cremers, Florian et al.
Bildverarbeitung für die Medizin 2018. ed. / Andreas Maier; Thomas M. Deserno; Heinz Handels; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff. Springer Vieweg, Berlin Heidelberg, 2018. p. 371-371 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts

AU - Stille, Maik

AU - Ziemann, Christian

AU - Cremers, Florian

AU - Rades, Dirk

AU - Buzug, Thorsten M.

PY - 2018/2/21

Y1 - 2018/2/21

N2 - Metal implants are able to cause severe artefacts in CT images due to physical effects such as scattering, total absorption, noise, or beamharding. Typically, the reconstructed images feature dark shadows around high-density objects as well as bright and dark streaks that may reduce the diagnostic value drastically. Within an extensive evaluation, the novel algorithm Augmented Likelihood Image Reconstruction has proven to reduce occurring artefacts accurately [1].

AB - Metal implants are able to cause severe artefacts in CT images due to physical effects such as scattering, total absorption, noise, or beamharding. Typically, the reconstructed images feature dark shadows around high-density objects as well as bright and dark streaks that may reduce the diagnostic value drastically. Within an extensive evaluation, the novel algorithm Augmented Likelihood Image Reconstruction has proven to reduce occurring artefacts accurately [1].

UR - https://www.scopus.com/pages/publications/85043303913

U2 - 10.1007/978-3-662-56537-7_92

DO - 10.1007/978-3-662-56537-7_92

M3 - Conference contribution

SN - 978-3-662-56536-0

T3 - Informatik aktuell

SP - 371

EP - 371

BT - Bildverarbeitung für die Medizin 2018

A2 - Maier, Andreas

A2 - Deserno, Thomas M.

A2 - Handels, Heinz

A2 - Maier-Hein, Klaus Hermann

A2 - Palm, Christoph

A2 - Tolxdorff, Thomas

PB - Springer Vieweg, Berlin Heidelberg

T2 - Bildverarbeitung für die Medizin 2018

Y2 - 11 March 2018 through 13 March 2018

ER -

Stille M, Ziemann C , Cremers F , Rades D , Buzug TM. Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts. In Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T, editors, Bildverarbeitung für die Medizin 2018. Springer Vieweg, Berlin Heidelberg. 2018. p. 371-371. (Informatik aktuell). doi: 10.1007/978-3-662-56537-7_92

Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts

Abstract

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