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Machine Vision Navigation in Spine Surgery.

Iain H Kalfas¹

¹Cleveland Clinic, Department of Neurosurgery, Cleveland, OH, United States.

Frontiers in Surgery

|March 19, 2021

Summary

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Image-guided spinal navigation enhances surgical accuracy for spinal disorders, overcoming fluoroscopy limitations. Advanced machine vision systems improve workflow and offer potential for preventing wrong-level surgery and tracking deformity correction.

Area of Science:

Neurosurgery
Orthopedic Surgery
Medical Technology

Background:

Clinical application of image-guided technology is evolving for spinal disorder surgery.
Image-guided spinal navigation improves fixation screw accuracy over traditional fluoroscopy.
Various navigation platforms exist, each with distinct pros and cons.

Purpose of the Study:

To highlight advancements in image-guided spinal navigation technology.
To introduce a novel navigation system utilizing machine vision structured light imaging.
To explore the expanding clinical applications of this technology in spine surgery.

Main Methods:

Review of current image-guided spinal navigation platforms.
Description of a new system employing machine vision structured light imaging for 3D surface anatomy reconstruction.

Keywords:

computer-assisted surgery image-guided surgery innovation new technology pedicle screws spinal navigation spine surgery

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Co-registration of surface anatomy with pre-operative or intra-operative imaging.

Main Results:

The new system generates precise 3D images of exposed anatomy.
It enhances intraoperative workflow and navigation efficiency.
Potential applications include preventing wrong-level surgery and real-time deformity tracking.

Conclusions:

Advancements in machine vision are expanding the role of image-guided navigation in spine surgery.
This technology offers improved accuracy, efficiency, and safety.
Future applications may further revolutionize spinal disorder management.