@inproceedings{60bb301131ee41088a23560b4f0dbfad,
title = "Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories",
abstract = "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.",
author = "Zaech, {Jan Nico} and Cong Gao and Bastian Bier and Russell Taylor and Andreas Maier and Nassir Navab and Mathias Unberath",
note = "Publisher Copyright: {\textcopyright} Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020.; International workshop on Algorithmen - Systeme - Anwendungen, 2020 ; Conference date: 15-03-2020 Through 17-03-2020",
year = "2020",
doi = "10.1007/978-3-658-29267-6_39",
language = "English",
isbn = "9783658292669",
series = "Informatik aktuell",
publisher = "Springer",
pages = "185",
editor = "Thomas Tolxdorff and Deserno, {Thomas M.} and Heinz Handels and Andreas Maier and Maier-Hein, {Klaus H.} and Christoph Palm",
booktitle = "Bildverarbeitung f{\"u}r die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops",
}