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Journal of Imaging Informatics in Medicine

Erschienen in:

06.07.2020 | Original Paper

Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT

verfasst von: Maxim Privalov, Marcus Mohr, Benedict Swartman, Nils Beisemann, Holger Keil, Jochen Franke, Paul Alfred Grützner, Sven Yves Vetter

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 5/2020

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Abstract

The aim of our study was to evaluate whether software-based artifact reduction can achieve an improved image quality, using intraoperative 3D imaging in spinal surgery. A total of 49 intraoperative 3D image datasets of patients, who underwent surgery with pedicle screw placement, were retrospectively evaluated. The visibility of anatomical structures and the diameter of the pedicle screws were examined, with and without the application of the artifact reduction software. All software prototypes can improve the visibility of anatomical structures (P < 0.01), except MAR (metal artifact reduction) combined with IRIS (iterative reconstruction in image space) (P = 0.04). The algorithms MAR and MAR-2 can reduce the blooming artifacts significantly (P < 0.01), but SL (Shepp & Logan) cannot (P = 0.08–0.988). In summary, software-based artifact reduction for intraoperative 3D datasets can improve the current image quality. Additional information regarding the implant placement and the fracture reduction is therefore generated for the surgeon.

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Titel: Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT
verfasst von: Maxim Privalov
Marcus Mohr
Benedict Swartman
Nils Beisemann
Holger Keil
Jochen Franke
Paul Alfred Grützner
Sven Yves Vetter
Publikationsdatum: 06.07.2020
Verlag: Springer International Publishing
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 5/2020
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-020-00324-2

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