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.





Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Hu R, Mustard CA, Burns C: Epidemiology of incident spinal fracture in a complete population. Spine 21:492–499, 1996
Ouden LPD, Smits AJ, Stadhouder A, Feller R, Deunk J, Bloemers FW: Epidemiology of spinal fractures in a level one trauma Center in the Netherlands; a 10 years review. Spine 44(10):732–739, 2018
Buhren V: Injuries to the thoracic and lumbar spine. Unfallchirurg 106:55–68, 2003
Boos N, Webb JK: Pedicle screw fixation in spinal disorders: a European view. European spine journal 6:2–18, 1997
Gautschi OP, Schatlo B, Schaller K, Tessitore E: Clinically relevant complications related to pedicle screw placement in thoracolumbar surgery and their management: a literature review of 35,630 pedicle screws. Neurosurgical focus 31:E8, 2011
O'Brien JR, Krushinski E, Zarro CM, Sciadini M, Gelb D, Ludwig S: Esophageal injury from thoracic pedicle screw placement in a polytrauma patient: a case report and literature review. J Orthop Trauma 20:431–434, 2006
Suk SI, Kim WJ, Lee SM, Kim JH, Chung ER: Thoracic pedicle screw fixation in spinal deformities: are they really safe? Spine 26:2049–2057, 2001
Di Silvestre M, Parisini P, Lolli F, Bakaloudis G: Complications of thoracic pedicle screws in scoliosis treatment. Spine 32:1655–1661, 2007
Ebraheim N, Sabry FF, Mehalik JN: Intraoperative imaging of the tibial plafond fracture: a potential pitfall. Foot Ankle Int 21, 2000
Graves ML, Kosko J, Barei DP, Taitsman LA, Tarquinio TA, Russell GV, Woodall J Jr, Porter SE: Lateral ankle radiographs: do we really understand what we are seeing? J Orthop Trauma 25:106–109, 2011
Balling H: Learning curve analysis of 3D-fluoroscopy image-guided pedicle screw insertions in lumbar single-level fusion procedures. Archives of orthopaedic and trauma surgery 138:1501–1509, 2018
Perna F, Borghi R, Pilla F, Stefanini N, Mazzotti A, Chehrassan M: Pedicle screw insertion techniques: an update and review of the literature. Musculoskeletal surgery 100:165–169, 2016
Scholz M, Kandziora F, Hildebrand F, Kobbe P: Injuries of the upper cervical spine: update on diagnostics and management. Unfallchirurg 120:683–700, 2017
Fichtner J, Hofmann N, Rienmüller A, Buchmann N, Gempt J, Kirschke JS, Ringel F, Meyer B, Ryang YM: Revision rate of misplaced pedicle screws of the thoracolumbar spine-comparison of three-dimensional fluoroscopy navigation with freehand placement: a systematic analysis and review of the literature. World neurosurgery 109:e24–e32, 2018
Gelalis ID, Paschos NK, Pakos EE, Politis AN, Arnaoutoglou CM, Karageorgos AC, Ploumis A, Xenakis TA: Accuracy of pedicle screw placement: a systematic review of prospective in vivo studies comparing free hand, fluoroscopy guidance and navigation techniques. European spine journal 21:247–255, 2012
Laine T, Lund T, Ylikoski M, Lohikoski J, Schlenzka D: Accuracy of pedicle screw insertion with and without computer assistance: a randomised controlled clinical study in 100 consecutive patients. European spine journal 9:235–240, 2000
Zou Y, Sidky EY, Pan X: Partial volume and aliasing artefacts in helical cone-beam CT. Physics in medicine and biology 49:2365–2375, 2004
Wang Y, Qian B, Li B, Qin G, Zhou Z, Qiu Y, Sun X, Zhu B: Metal artifacts reduction using monochromatic images from spectral CT: evaluation of pedicle screws in patients with scoliosis. European journal of radiology 82:e360–e366, 2013
Shepp LA, Logan BF: The Fourier reconstruction of a head section. IEEE Transactions on Nuclear Science 21:21–43, 1974
Kalender WA, Hebel R, Ebersberger J: Reduction of CT artifacts caused by metallic implants. Radiology 164:576–577, 1987
Meilinger M, Schmidgunst C, Schutz O, Lang EW: Metal artifact reduction in cone beam computed tomography using forward projected reconstruction information. Z Med Phys 21:174–182, 2011
Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M: Frequency split metal artifact reduction (FSMAR) in computed tomography. Medical physics 39:1904–1916, 2012
Bruder H, Raupach R, Sunnegårdh J, Sedlmair M, Stierstorfer K, Flohr T: Adaptive iterative reconstruction. Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7961, 2011
Kidoh M, Nakaura T, Nakamura S, Tokuyasu S, Osakabe H, Harada K, Yamashita Y: Reduction of dental metallic artefacts in CT: value of a newly developed algorithm for metal artefact reduction (O-MAR). Clinical radiology 69:e11–e16, 2014
Meyer E, Raupach R, Lell M, Schmidt B, Kachelriess M: Normalized metal artifact reduction (NMAR) in computed tomography. Medical physics 37:5482–5493, 2010
Rock C, Linsenmaier U, Brandl R, Kotsianos D, Wirth S, Kaltschmidt R, Euler E, Mutschler W, Pfeifer KJ: Introduction of a new mobile C-arm/CT combination equipment (ISO-C-3D). Initial results of 3-D sectional imaging. Unfallchirurg 104:827–833, 2001
Rock C, Kotsianos D, Linsenmaier U, Fischer T, Brandl R, Vill F, Wirth S, Kaltschmidt R, Euler E, Pfeifer KJ, Reiser M: Studies on image quality, high contrast resolution and dose for the axial skeleton and limbs with a new, dedicated CT system (ISO-C-3 D). RoFo 174:170–176, 2002
Kluba T, Rühle T, Schulze-Bövingloh A, Leichtle CI, Schönfisch B, Niemeyer T, Schaefer JF: Reproducibility of readings of ISO C 3D and CT lumbar pedicle screw scans. RoFo 181:477–482, 2009
Beck M, Moritz K, Gierer P, Gradl G, Harms C, Mittlmeier T: Intraoperative control of pedicle screw position using three-dimensional fluoroscopy. A prospective study in thoracolumbar fractures. Z Orthop Unfall 147:37–42, 2009
Acknowledgments
Karl Barth (Siemens AG, Healthcare Sector, Erlangen, Germany) made a special contribution to this study. He provided us with the software prototypes for artifact reduction and supported us in their application.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare the following potential conflicts of interest concerning the research, authorship, and publication of this article: The BG Trauma Center Ludwigshafen and Siemens Healthcare AG in Erlangen, Germany cooperate in the field of medical imaging and image-guided surgery. This cooperation influenced neither the outcome of the study nor the manuscript.
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed Consent
Since only existing anonymized image data was used, no informed consent was required for the present study.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Privalov, M., Mohr, M., Swartman, B. et al. Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT. J Digit Imaging 33, 1136–1143 (2020). https://doi.org/10.1007/s10278-020-00324-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10278-020-00324-2