Deformable 3D-2D registration of known components for image guidance in spine surgery

A. Uneri; J. Goerres; T. De Silva; M. W. Jacobson; M. D. Ketcha; S. Reaungamornrat; G. Kleinszig; S. Vogt; A. J. Khanna; J. P. Wolinsky; J. H. Siewerdsen

doi:10.1007/978-3-319-46726-9_15

Deformable 3D-2D registration of known components for image guidance in spine surgery

A. Uneri, J. Goerres, T. De Silva, M. W. Jacobson, M. D. Ketcha, S. Reaungamornrat, G. Kleinszig, S. Vogt, A. J. Khanna, J. P. Wolinsky, J. H. Siewerdsen

School of Medicine

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

Abstract

A 3D-2D image registration method is reported for guiding the placement of surgical devices (e.g.,K-wires). The solution registers preoperative CT (and planning data therein) to intraoperative radiographs and computes the pose,shape,and deformation parameters of devices (termed “components”) known to be in the radiographic scene. The deformable known-component registration (dKC-Reg) method was applied in experiments emulating spine surgery to register devices (K-wires and spinal fixation rods) undergoing realistic deformation. A two-stage registration process (i) resolves patient pose from individual radiographs and (ii) registers components represented as polygonal meshes based on a B-spline model. The registration result can be visualized as overlay of the component in CT analogous to surgical navigation but without conventional trackers or fiducials. Target registration error in the tip and orientation of deformable K-wires was (1.5 ± 0.9) mm and (0.6° ± 0.2°),respectively. For spinal fixation rods,the registered components achieved Hausdorff distance of 3.4 mm. Future work includes testing in cadaver and clinical data and extension to more generalized deformation and component models.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
Editors	Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin
Publisher	Springer Verlag
Pages	124-132
Number of pages	9
ISBN (Print)	9783319467252
DOIs	https://doi.org/10.1007/978-3-319-46726-9_15
State	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9902 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

3D-2D registration
Deformable registration
Image-guided surgery
Quality assurance
Spine surgery
Surgical navigation

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-46726-9_15

Cite this

Uneri, A., Goerres, J., De Silva, T., Jacobson, M. W., Ketcha, M. D., Reaungamornrat, S., Kleinszig, G., Vogt, S., Khanna, A. J., Wolinsky, J. P., & Siewerdsen, J. H. (2016). Deformable 3D-2D registration of known components for image guidance in spine surgery. In L. Joskowicz, M. R. Sabuncu, W. Wells, G. Unal, & S. Ourselin (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (pp. 124-132). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_15

Deformable 3D-2D registration of known components for image guidance in spine surgery. / Uneri, A.; Goerres, J.; De Silva, T.; Jacobson, M. W.; Ketcha, M. D.; Reaungamornrat, S.; Kleinszig, G.; Vogt, S.; Khanna, A. J.; Wolinsky, J. P.; Siewerdsen, J. H.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. ed. / Leo Joskowicz; Mert R. Sabuncu; William Wells; Gozde Unal; Sebastian Ourselin. Springer Verlag, 2016. p. 124-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS).

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

Uneri, A, Goerres, J, De Silva, T, Jacobson, MW, Ketcha, MD, Reaungamornrat, S, Kleinszig, G, Vogt, S, Khanna, AJ, Wolinsky, JP & Siewerdsen, JH 2016, Deformable 3D-2D registration of known components for image guidance in spine surgery. in L Joskowicz, MR Sabuncu, W Wells, G Unal & S Ourselin (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer Verlag, pp. 124-132. https://doi.org/10.1007/978-3-319-46726-9_15

Uneri A, Goerres J, De Silva T, Jacobson MW, Ketcha MD, Reaungamornrat S et al. Deformable 3D-2D registration of known components for image guidance in spine surgery. In Joskowicz L, Sabuncu MR, Wells W, Unal G, Ourselin S, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag. 2016. p. 124-132. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-46726-9_15

Uneri, A. ; Goerres, J. ; De Silva, T. ; Jacobson, M. W. ; Ketcha, M. D. ; Reaungamornrat, S. ; Kleinszig, G. ; Vogt, S. ; Khanna, A. J. ; Wolinsky, J. P. ; Siewerdsen, J. H. / Deformable 3D-2D registration of known components for image guidance in spine surgery. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. editor / Leo Joskowicz ; Mert R. Sabuncu ; William Wells ; Gozde Unal ; Sebastian Ourselin. Springer Verlag, 2016. pp. 124-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "A 3D-2D image registration method is reported for guiding the placement of surgical devices (e.g.,K-wires). The solution registers preoperative CT (and planning data therein) to intraoperative radiographs and computes the pose,shape,and deformation parameters of devices (termed “components”) known to be in the radiographic scene. The deformable known-component registration (dKC-Reg) method was applied in experiments emulating spine surgery to register devices (K-wires and spinal fixation rods) undergoing realistic deformation. A two-stage registration process (i) resolves patient pose from individual radiographs and (ii) registers components represented as polygonal meshes based on a B-spline model. The registration result can be visualized as overlay of the component in CT analogous to surgical navigation but without conventional trackers or fiducials. Target registration error in the tip and orientation of deformable K-wires was (1.5 ± 0.9) mm and (0.6° ± 0.2°),respectively. For spinal fixation rods,the registered components achieved Hausdorff distance of 3.4 mm. Future work includes testing in cadaver and clinical data and extension to more generalized deformation and component models.",

keywords = "3D-2D registration, Deformable registration, Image-guided surgery, Quality assurance, Spine surgery, Surgical navigation",

author = "A. Uneri and J. Goerres and {De Silva}, T. and Jacobson, {M. W.} and Ketcha, {M. D.} and S. Reaungamornrat and G. Kleinszig and S. Vogt and Khanna, {A. J.} and Wolinsky, {J. P.} and Siewerdsen, {J. H.}",

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AU - Goerres, J.

AU - De Silva, T.

AU - Jacobson, M. W.

AU - Ketcha, M. D.

AU - Reaungamornrat, S.

AU - Kleinszig, G.

AU - Vogt, S.

AU - Khanna, A. J.

AU - Wolinsky, J. P.

AU - Siewerdsen, J. H.

N1 - Funding Information: Research supported by NIH grant R01-EB-017226 and academic-industry partnership with Siemens Healthcare (XP Division, Erlangen Germany). Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - A 3D-2D image registration method is reported for guiding the placement of surgical devices (e.g.,K-wires). The solution registers preoperative CT (and planning data therein) to intraoperative radiographs and computes the pose,shape,and deformation parameters of devices (termed “components”) known to be in the radiographic scene. The deformable known-component registration (dKC-Reg) method was applied in experiments emulating spine surgery to register devices (K-wires and spinal fixation rods) undergoing realistic deformation. A two-stage registration process (i) resolves patient pose from individual radiographs and (ii) registers components represented as polygonal meshes based on a B-spline model. The registration result can be visualized as overlay of the component in CT analogous to surgical navigation but without conventional trackers or fiducials. Target registration error in the tip and orientation of deformable K-wires was (1.5 ± 0.9) mm and (0.6° ± 0.2°),respectively. For spinal fixation rods,the registered components achieved Hausdorff distance of 3.4 mm. Future work includes testing in cadaver and clinical data and extension to more generalized deformation and component models.

AB - A 3D-2D image registration method is reported for guiding the placement of surgical devices (e.g.,K-wires). The solution registers preoperative CT (and planning data therein) to intraoperative radiographs and computes the pose,shape,and deformation parameters of devices (termed “components”) known to be in the radiographic scene. The deformable known-component registration (dKC-Reg) method was applied in experiments emulating spine surgery to register devices (K-wires and spinal fixation rods) undergoing realistic deformation. A two-stage registration process (i) resolves patient pose from individual radiographs and (ii) registers components represented as polygonal meshes based on a B-spline model. The registration result can be visualized as overlay of the component in CT analogous to surgical navigation but without conventional trackers or fiducials. Target registration error in the tip and orientation of deformable K-wires was (1.5 ± 0.9) mm and (0.6° ± 0.2°),respectively. For spinal fixation rods,the registered components achieved Hausdorff distance of 3.4 mm. Future work includes testing in cadaver and clinical data and extension to more generalized deformation and component models.

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Deformable 3D-2D registration of known components for image guidance in spine surgery

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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