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].

Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2018
EditorsAndreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff
Number of pages1
PublisherSpringer Vieweg, Berlin Heidelberg
Publication date21.02.2018
Pages371-371
ISBN (Print)978-3-662-56536-0
ISBN (Electronic)978-3-662-56537-7
DOIs
Publication statusPublished - 21.02.2018
EventBildverarbeitung für die Medizin 2018 - Lehrstuhl für Mustererkennung, Erlangen, Germany
Duration: 11.03.201813.03.2018
https://www.springer.com/us/book/9783662565360
http://www.bvm-workshop.org

Research Areas and Centers

  • Academic Focus: Biomedical Engineering

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