Automated surgical planning system for spinal fusion surgery with three-dimensional pedicle model

Jongwon Lee, Sungmin Kim, Young Soo Kim, Wan Kyun Chung

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

High precision of planning in the preoperative phase can contribute to increase operational safety during computer-aided spinal fusion surgery, which requires extreme caution on the part of the surgeon, due to the complexity and delicacy of the procedure. In this paper, an advanced preoperative planning framework for spinal fusion is presented. The framework is based on spinal pedicle data obtained from CT (Computed Tomography) images, and provides optimal insertion trajectories and pedicle screw sizes. The proposed approach begins with safety margin estimation for each potential insertion trajectory that passes through the pedicle volume, followed by procedures to collect a set of insertion trajectories that satisfy operation safety objectives. The radius of a pedicle screw was chosen as 70% of the pedicle radius. This framework has been tested on 68 spinal pedicles of 8 patients requiring spinal fusion. It was successfully applied, resulting in an average success rate of 100% and a final safety margin of 2.44±0.51mm.

Original languageEnglish
Pages (from-to)807-813
Number of pages7
JournalJournal of Institute of Control, Robotics and Systems
Volume17
Issue number8
DOIs
StatePublished - 2011 Aug 1

Fingerprint

Surgery
Fusion
Fusion reactions
Safety
Planning
Insertion
Three-dimensional
Trajectories
Trajectory
Margin
Radius
Computed Tomography
Model
Tomography
Extremes
Framework

Keywords

  • Medical robot
  • Operational safety
  • Spinal fusion surgery
  • Surgical planner

Cite this

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abstract = "High precision of planning in the preoperative phase can contribute to increase operational safety during computer-aided spinal fusion surgery, which requires extreme caution on the part of the surgeon, due to the complexity and delicacy of the procedure. In this paper, an advanced preoperative planning framework for spinal fusion is presented. The framework is based on spinal pedicle data obtained from CT (Computed Tomography) images, and provides optimal insertion trajectories and pedicle screw sizes. The proposed approach begins with safety margin estimation for each potential insertion trajectory that passes through the pedicle volume, followed by procedures to collect a set of insertion trajectories that satisfy operation safety objectives. The radius of a pedicle screw was chosen as 70{\%} of the pedicle radius. This framework has been tested on 68 spinal pedicles of 8 patients requiring spinal fusion. It was successfully applied, resulting in an average success rate of 100{\%} and a final safety margin of 2.44±0.51mm.",
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Automated surgical planning system for spinal fusion surgery with three-dimensional pedicle model. / Lee, Jongwon; Kim, Sungmin; Kim, Young Soo; Chung, Wan Kyun.

In: Journal of Institute of Control, Robotics and Systems, Vol. 17, No. 8, 01.08.2011, p. 807-813.

Research output: Contribution to journalArticle

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