Clinical Pedicle Screw Insertion Trials and System Improvement of C-arm Image Navigation System

Chang, Chih‐Ju; Yu, Ching-Hsiao; Lin, Geng-Li; Tse, Alex Wing Cheung; Chu, Hsin‐Sen; Tseng, Ching-Shiow

doi:10.1007/s40846-016-0107-2

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…According to the studies of Fahrig et al [ 20 ] and Gorges et al [ 21 ], the image projection mode of the C-arm system was similar to the single point perspective projection, and the path-planning algorithm was designed in this study based on that premise. However, as the image of intensifier-typed C-arm (Solo, Ziehm) had pincushion distortion and S-shaped sigmoidal distortion [ 22 ], it was necessary to perform image correction [ 23 ] to acquire a distortion-free C-arm image. This distortion correction step can be skipped in case a flat panel C-arm is used.…”

Section: Methodsmentioning

confidence: 99%

C-Arm Image-Based Surgical Path Planning Method for Distal Locking of Intramedullary Nails

Hsu

Chang

et al. 2018

Applied Bionics and Biomechanics

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Due to the curvature of the bone marrow cavity, the intramedullary nail used in long bone fracture fixation can be deformed, causing displacement of the locking holes. In this study, an algorithm using only one C-arm image to determine the center positions and axial directions of locking holes was developed for drilling guidance. Based on conventional method that the axial direction of locking hole would be identified when locking hole contour is presented as a circle, the proposed method can locate the circle contour centroid by using one C-arm image including two elliptical contours. Then the two distal locking holes' axial direction and centers would be determined. Three experiments were conducted to verify the performance of the proposed algorithm, which are (1) computer simulation, (2) use of real intramedullary nails, and (3) actual drilling test with the bone model. The experimental results showed that the average error of the axial direction and center position were 0.62 ± 0.6°, 0.73 ± 0.53 mm (simulation) and 3.16 ± 1.36°, 1.10 ± 0.50 mm (actual nail), respectively. The last ten drilling test sets were completed successfully (with an average duration of 48 seconds). Based on the experimental results, the proposed algorithm was feasible for clinic applications.

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Section: Methodsmentioning

confidence: 99%

C-Arm Image-Based Surgical Path Planning Method for Distal Locking of Intramedullary Nails

Hsu

Chang

et al. 2018

Applied Bionics and Biomechanics

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“…Furthermore, implantation process of spine surgery is highly relying on the surgeon's skill and clinical experiences. This manuscript presents a self-developed 2D C-arm image assisted robotic navigation system for assisting the surgeon to implant pedicle screws to the planned locations (Chang, 2016). The robotic navigation system integrates a NDI Polaris optic tracker, a Universal UR5 robot, and an Advantech all-in-one computer as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Positioning Accuracy Test of A Self-Developed 2D C-arm Image Based Robotic Navigation System for Spine Surgery

Tseng¹,

Wu²,

Chen³

et al.

EPiC Series in Health Sciences

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This manuscript presents positioning accuracy test of a self-development 2D C-arm image based robotic navigation system for assisting the surgeon to implant pedicle screws to the planned locations. The main difference of the system to the ROSA Spine system or Mazor X system is the use of 2D C-arm images instead of 3D C-arm (O-arm) or CT images, which is because 2D C-arm is more popular and available in most hospitals. The surgeon uses a positioning probe to plan drill paths directly on the patient’s back, which are projected and shown on the computer-displayed C-arm AP and LA images so that the surgeon can make sure the correction of implantation path. The spatial position and orientation of the implantation path are also input to the robot controller to enable the robot to move automatically the guiding device to align with the planned path. Then the surgeon can easily drill and implant pedicle screw into the pedicle by following the guiding sleeve. The positioning results of phantom experiment indicate that the average distance error of probe tip between planned and guided paths within the pedicle is 1.2 + 0.3mm and the average direction error between the two paths is 0.4 + 0.1o.

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Two-dimensional C-arm robotic navigation system (i-Navi) in spine surgery: a pilot study

et al. 2022

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Clinical Pedicle Screw Insertion Trials and System Improvement of C-arm Image Navigation System

Cited by 4 publications

References 20 publications

C-Arm Image-Based Surgical Path Planning Method for Distal Locking of Intramedullary Nails

C-Arm Image-Based Surgical Path Planning Method for Distal Locking of Intramedullary Nails

Positioning Accuracy Test of A Self-Developed 2D C-arm Image Based Robotic Navigation System for Spine Surgery

Two-dimensional C-arm robotic navigation system (i-Navi) in spine surgery: a pilot study

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