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

doi:10.1007/978-3-658-29267-6_39

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 proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops
Editors	Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm
Publisher	Springer
Pages	185
Number of pages	1
ISBN (Print)	9783658292669
DOIs	https://doi.org/10.1007/978-3-658-29267-6_39
State	Published - 2020
Externally published	Yes
Event	International workshop on Algorithmen - Systeme - Anwendungen, 2020 - Berlin, Germany Duration: Mar 15 2020 → Mar 17 2020

Publication series

Name	Informatik aktuell
ISSN (Print)	1431-472X

Conference

Conference	International workshop on Algorithmen - Systeme - Anwendungen, 2020
Country/Territory	Germany
City	Berlin
Period	3/15/20 → 3/17/20

ASJC Scopus subject areas

Modeling and Simulation

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10.1007/978-3-658-29267-6_39

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Zaech, J. N., Gao, C., Bier, B., Taylor, R., Maier, A., Navab, N., & Unberath, M. (2020). Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. In T. Tolxdorff, T. M. Deserno, H. Handels, A. Maier, K. H. Maier-Hein, & C. Palm (Eds.), Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops (pp. 185). (Informatik aktuell). Springer. https://doi.org/10.1007/978-3-658-29267-6_39

Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. / Zaech, Jan Nico; Gao, Cong; Bier, Bastian et al.
Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops. ed. / Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm. Springer, 2020. p. 185 (Informatik aktuell).

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

Zaech, JN, Gao, C, Bier, B, Taylor, R, Maier, A, Navab, N & Unberath, M 2020, Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. in T Tolxdorff, TM Deserno, H Handels, A Maier, KH Maier-Hein & C Palm (eds), Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops. Informatik aktuell, Springer, pp. 185, International workshop on Algorithmen - Systeme - Anwendungen, 2020, Berlin, Germany, 3/15/20. https://doi.org/10.1007/978-3-658-29267-6_39

Zaech JN, Gao C, Bier B, Taylor R, Maier A, Navab N et al. Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. In Tolxdorff T, Deserno TM, Handels H, Maier A, Maier-Hein KH, Palm C, editors, Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops. Springer. 2020. p. 185. (Informatik aktuell). doi: 10.1007/978-3-658-29267-6_39

Zaech, Jan Nico ; Gao, Cong ; Bier, Bastian et al. / Abstract : Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen. Proceedings des Workshops. editor / Thomas Tolxdorff ; Thomas M. Deserno ; Heinz Handels ; Andreas Maier ; Klaus H. Maier-Hein ; Christoph Palm. Springer, 2020. pp. 185 (Informatik aktuell).

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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.",

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

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