3D-2D image registration in virtual long-film imaging: application to spinal deformity correction

A. Uneri; X. Zhang; J. W. Stayman; P. A. Helm; G. M. Osgood; N. Theodore; J. H. Siewerdsen

doi:10.1117/12.2513679

8 March 2019 3D-2D image registration in virtual long-film imaging: application to spinal deformity correction

A. Uneri, X. Zhang, J. W. Stayman, P. A. Helm, G. M. Osgood, N. Theodore, J. H. Siewerdsen

Proceedings Volume 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling; 109511H (2019) https://doi.org/10.1117/12.2513679
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Purpose. Intraoperative 2D virtual long-film (VLF) imaging is investigated for 3D guidance and confirmation of the surgical product in spinal deformity correction. Multi-slot-scan geometry (rather than a single-slot “topogram”) is exploited to produce parallax views of the scene for accurate 3D colocalization from a single radiograph. Methods. The multi-slot approach uses additional angled collimator apertures to form fan-beams with disparate views (parallax) of anatomy and instrumentation and to extend field-of-view beyond the linear motion limits. Combined with a knowledge of surgical implants (pedicle screws and/or spinal rods modeled as “known components”), 3D-2D image registration is used to solve for pose estimates via optimization of image gradient correlation. Experiments were conducted in cadaver studies emulating the system geometry of the O-arm (Medtronic, Minneapolis MN). Results. Experiments demonstrated feasibility of multi-slot VLF and quantified the geometric accuracy of 3D-2D registration using VLF acquisitions. Registration of pedicle screws from a single VLF yielded mean target registration error of (2.0±0.7) mm, comparable to the accuracy of surgical trackers and registration using multiple radiographs (e.g., AP and LAT). Conclusions. 3D-2D registration in a single VLF image offers a promising new solution for image guidance in spinal deformity correction. The ability to accurately resolve pose from a single view absolves workflow challenges of multiple-view registration and suggests application beyond spine surgery, such as reduction of long-bone fractures.

Conference Presentation

Citation Download Citation

A. Uneri, X. Zhang, J. W. Stayman, P. A. Helm, G. M. Osgood, N. Theodore, and J. H. Siewerdsen "3D-2D image registration in virtual long-film imaging: application to spinal deformity correction", Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109511H (8 March 2019); https://doi.org/10.1117/12.2513679

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