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Updated: Aug 3, 2025

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
Published on: May 24, 2024
Sonification as a reliable alternative to conventional visual surgical navigation.
Sasan Matinfar1,2, Mehrdad Salehi3, Daniel Suter4
1Computer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany. Sasan.Matinfar@tum.de.
This study introduces a novel sonification method for surgical navigation, offering comparable accuracy to visual systems. This auditory approach enhances surgeon focus on the surgical site, improving usability and workflow integration in computer-assisted surgery.
Area of Science:
- Neurosurgery
- Medical Imaging
- Human-Computer Interaction
Background:
- Image-guided surgical systems improve accuracy but face challenges in usability and workflow integration.
- Multimodal feedback, engaging multiple senses, can enhance task performance in perceptual studies.
Purpose of the Study:
- To investigate an alternative computer-assisted surgical navigation method using sonification.
- To introduce and evaluate a novel four-degrees-of-freedom (DOF) sonification technique for navigated pedicle screw placement.
Main Methods:
- Developed a four-DOF sonification solution for alignment tasks using frequency modulation synthesis.
- Compared the accuracy and execution time of the sonification method against traditional visual navigation.
- Conducted a phantom study with 17 surgeons performing lumbar pedicle screw placement.
Main Results:
- The sonification-based navigation method achieved accuracy comparable to the state-of-the-art visual navigation.
- The proposed method reduced the need for surgeons to divert attention to visual displays.
- Surgeons could maintain focus on surgical tools and anatomy during the procedure.
Conclusions:
- Sonification offers a viable alternative for computer-assisted surgical navigation, enhancing usability and workflow.
- Multisensory feedback, specifically auditory cues, can improve surgeon performance and reduce cognitive load.
- This approach holds promise for advancing surgical assistance systems beyond current visual-centric paradigms.
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