| Literature DB >> 32632648 |
Maxim Privalov1, Marcus Mohr1, Benedict Swartman1, Nils Beisemann1, Holger Keil1, Jochen Franke1, Paul Alfred Grützner1, Sven Yves Vetter2.
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.Entities:
Keywords: Artifact reduction; Cone-beam CT; Intraoperative 3D imaging; Pedicle screw; Spinal surgery
Mesh:
Year: 2020 PMID: 32632648 PMCID: PMC7572971 DOI: 10.1007/s10278-020-00324-2
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056