Sonification as a reliable alternative to conventional visual surgical navigation

Sasan Matinfar, Mehrdad Salehi, Daniel Suter, Matthias Seibold, Shervin Dehghani, Navid Navab, Florian Wanivenhaus, Philipp Fürnstahl, Mazda Farshad, Nassir Navab

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Despite the undeniable advantages of image-guided surgical assistance systems in terms of accuracy, such systems have not yet fully met surgeons’ needs or expectations regarding usability, time efficiency, and their integration into the surgical workflow. On the other hand, perceptual studies have shown that presenting independent but causally correlated information via multimodal feedback involving different sensory modalities can improve task performance. This article investigates an alternative method for computer-assisted surgical navigation, introduces a novel four-DOF sonification methodology for navigated pedicle screw placement, and discusses advanced solutions based on multisensory feedback. The proposed method comprises a novel four-DOF sonification solution for alignment tasks in four degrees of freedom based on frequency modulation synthesis. We compared the resulting accuracy and execution time of the proposed sonification method with visual navigation, which is currently considered the state of the art. We conducted a phantom study in which 17 surgeons executed the pedicle screw placement task in the lumbar spine, guided by either the proposed sonification-based or the traditional visual navigation method. The results demonstrated that the proposed method is as accurate as the state of the art while decreasing the surgeon’s need to focus on visual navigation displays instead of the natural focus on surgical tools and targeted anatomy during task execution.

Original languageEnglish
Article number5930
JournalScientific Reports
Volume13
Issue number1
DOIs
StatePublished - Dec 2023

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