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 |
| Publisher | Springer Verlag |
| Pages | 124-132 |
| Number of pages | 9 |
| Volume | 9902 LNCS |
| ISBN (Print) | 9783319467252 |
| DOIs | |
| 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) | 03029743 |
| ISSN (Electronic) | 16113349 |
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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)
Cite this
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 Jay; Wolinsky, J. P.; Siewerdsen, Jeff.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9902 LNCS 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
}
TY - GEN
T1 - Deformable 3D-2D registration of known components for image guidance in spine surgery
AU - Uneri, A.
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 Jay
AU - Wolinsky, J. P.
AU - Siewerdsen, Jeff
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.
KW - 3D-2D registration
KW - Deformable registration
KW - Image-guided surgery
KW - Quality assurance
KW - Spine surgery
KW - Surgical navigation
UR - http://www.scopus.com/inward/record.url?scp=84996590137&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84996590137&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46726-9_15
DO - 10.1007/978-3-319-46726-9_15
M3 - Conference contribution
SN - 9783319467252
VL - 9902 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 124
EP - 132
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PB - Springer Verlag
ER -