Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories

Jan Nico Zaech, Cong Gao, Bastian Bier, Russell Taylor, Andreas Maier, Nassir Navab, Mathias Unberath

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

1 Scopus citations


Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts are particularly strong around metal implants, inhibiting widespread adoption of 3D cone-beam CT (CBCT) despite clear opportunity for intra-operative verification of implant positioning, e. g. in spinal fusion surgery. On synthetic and real data, we demonstrate that much of the artifact can be avoided by acquiring better data for reconstruction in a task-aware and patient-specific manner, and describe the first step towards the envisioned task-aware CBCT protocol.

Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops
EditorsThomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm
Number of pages1
ISBN (Print)9783658292669
StatePublished - 2020
Externally publishedYes
EventInternational workshop on Algorithmen - Systeme - Anwendungen, 2020 - Berlin, Germany
Duration: 15 Mar 202017 Mar 2020

Publication series

NameInformatik aktuell
ISSN (Print)1431-472X


ConferenceInternational workshop on Algorithmen - Systeme - Anwendungen, 2020


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