Literature DB >> 26194485

Intraoperative CT as a registration benchmark for intervertebral motion compensation in image-guided open spinal surgery.

Songbai Ji1,2, Xiaoyao Fan3, Keith D Paulsen3,4, David W Roberts5,4, Sohail K Mirza5,4, S Scott Lollis5,4.   

Abstract

PURPOSE: An accurate and reliable benchmark of registration accuracy and intervertebral motion compensation is important for spinal image guidance. In this study, we evaluated the utility of intraoperative CT (iCT) in place of bone-implanted screws as the ground-truth registration and illustrated its use to benchmark the performance of intraoperative stereovision (iSV).
METHODS: A template-based, multi-body registration scheme was developed to individually segment and pair corresponding vertebrae between preoperative CT and iCT of the spine. Intervertebral motion was determined from the resulting vertebral pair-wise registrations. The accuracy of the image-driven registration was evaluated using surface-to-surface distance error (SDE) based on segmented bony features and was independently verified using point-to-point target registration error (TRE) computed from bone-implanted mini-screws. Both SDE and TRE were used to assess the compensation accuracy using iSV.
RESULTS: The iCT-based technique was evaluated on four explanted porcine spines (20 vertebral pairs) with artificially induced motion. We report a registration accuracy of 0.57 [Formula: see text] 0.32 mm (range 0.34-1.14 mm) and 0.29 [Formula: see text] 0.15 mm (range 0.14-0.78 mm) in SDE and TRE, respectively, for all vertebrae pooled, with an average intervertebral rotation of [Formula: see text] (range 1.5[Formula: see text]-7.9[Formula: see text]). The iSV-based compensation accuracy for one sample (four vertebrae) was 1.32 [Formula: see text] 0.19 mm and 1.72 [Formula: see text] 0.55 mm in SDE and TRE, respectively, exceeding the recommended accuracy of 2 mm.
CONCLUSION: This study demonstrates the effectiveness of iCT in place of invasive fiducials as a registration ground truth. These findings are important for future development of on-demand spinal image guidance using radiation-free images such as stereovision and ultrasound on human subjects.

Entities:  

Keywords:  Fusion surgery; Intervertebral motion; Intraoperative CT; Motion compensation; Patient registration; Registration accuracy; Spinal surgery

Mesh:

Year:  2015        PMID: 26194485      PMCID: PMC4734629          DOI: 10.1007/s11548-015-1255-5

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  28 in total

1.  Validation of automated ultrasound-CT registration of vertebrae.

Authors:  Charles X B Yan; Benoît Goulet; Sean Jy-Shyang Chen; Donatella Tampieri; D Louis Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-11-24       Impact factor: 2.924

2.  Worldwide survey on the use of navigation in spine surgery.

Authors:  Roger Härtl; Khai Sing Lam; Jeffrey Wang; Andreas Korge; Frank Kandziora; Laurent Audigé
Journal:  World Neurosurg       Date:  2012-03-30       Impact factor: 2.104

Review 3.  Image-guided spinal surgery.

Authors:  Langston T Holly
Journal:  Int J Med Robot       Date:  2006-03       Impact factor: 2.547

4.  Mutual-information-based image to patient re-registration using intraoperative ultrasound in image-guided neurosurgery.

Authors:  Songbai Ji; Ziji Wu; Alex Hartov; David W Roberts; Keith D Paulsen
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

5.  Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model.

Authors:  Abtin Rasoulian; Robert Rohling; Purang Abolmaesumi
Journal:  IEEE Trans Med Imaging       Date:  2013-06-12       Impact factor: 10.048

6.  A multi-vertebrae CT to US registration of the lumbar spine in clinical data.

Authors:  Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Ilker Hacihaliloglu; Tamas Ungi; Jill Osborn; Victoria A Lessoway; John Rudan; Melanie Jaeger; Robert N Rohling; Dan P Borschneck; Parvin Mousavi
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-07-15       Impact factor: 2.924

7.  Patient Registration Using Intraoperative Stereovision in Image-guided Open Spinal Surgery.

Authors:  Songbai Ji; Xiaoyao Fan; Keith D Paulsen; David W Roberts; Sohail K Mirza; S Scott Lollis
Journal:  IEEE Trans Biomed Eng       Date:  2015-03-26       Impact factor: 4.538

8.  Deformable image registration with local rigidity constraints for cone-beam CT-guided spine surgery.

Authors:  S Reaungamornrat; A S Wang; A Uneri; Y Otake; A J Khanna; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-06-17       Impact factor: 3.609

9.  Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration.

Authors:  Songbai Ji; Xiaoyao Fan; David W Roberts; Alex Hartov; Keith D Paulsen
Journal:  Med Image Anal       Date:  2014-07-09       Impact factor: 8.545

10.  Kinematics of the lumbar spine in trunk rotation: in vivo three-dimensional analysis using magnetic resonance imaging.

Authors:  Ryutaro Fujii; Hironobu Sakaura; Yoshihiro Mukai; Noboru Hosono; Takahiro Ishii; Motoki Iwasaki; Hideki Yoshikawa; Kazuomi Sugamoto
Journal:  Eur Spine J       Date:  2007-06-05       Impact factor: 3.134

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  3 in total

Review 1.  Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.

Authors:  Ghassan S Kassab; Gary An; Edward A Sander; Michael I Miga; Julius M Guccione; Songbai Ji; Yoram Vodovotz
Journal:  Ann Biomed Eng       Date:  2016-03-25       Impact factor: 3.934

2.  A level-wise spine registration framework to account for large pose changes.

Authors:  Yunliang Cai; Shaoju Wu; Xiaoyao Fan; Jonathan Olson; Linton Evans; Scott Lollis; Sohail K Mirza; Keith D Paulsen; Songbai Ji
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-05-10       Impact factor: 3.421

3.  Intraoperative Computed Tomography-Based Navigation with Augmented Reality for Lateral Approaches to the Spine.

Authors:  Mirza Pojskić; Miriam Bopp; Benjamin Saß; Andreas Kirschbaum; Christopher Nimsky; Barbara Carl
Journal:  Brain Sci       Date:  2021-05-15
  3 in total

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