Jingwen Hui, Songyuan Lu, Eric Lee, and Frank E. Talke
Abstract: Surgical navigation technologies have transformed the healthcare landscape, playing a key role in enhancing precision, safety, and efficiency of various medical procedures. In this paper, we present a cost-effective 3D computer navigation approach that leverages augmented reality (AR) and computer vision (CV) to aid in spinal pain management procedures like radiofrequency ablation (RFA) and epidural steroid injections (ESI). We evaluate the accuracy of AR overlay of key anatomical features on the patient (obtained from MRI scans or CAD models of the patient) through simulated spinal injection experiments and assess the accuracy of the CV algorithm via optical tracking experiments. Our findings indicate that AR and CV are valuable tools for surgical guidance, offering a low-cost alternative to traditional fluoroscopy.
Keywords: Augmented Reality, Computer Vision, Biomedical Devices.
Date Published: November 22, 2024 DOI: 10.11159/jbeb.2024.006
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