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124 of 231
Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
Darya Sitovskaya, Ksenia Frolkova, Elizaveta Shanina, Tatyana Sokolova and Yulia Zabrodskaya
126 of 231
Compatibility Analysis of Frequency Containment Reserve and Load Frequency Control Functions
Ramūnas Deltuva
Abstract

要約 at IgMin Research

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Medicine Group Research Article 記事ID: igmin236

Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries

Pain and Relief DOI10.61927/igmin236
Songyuan Lu 1 ,
Jingwen Hui 1 ,
Eric Lee 1 ,
Darin Tsui 2 ,
Farshad M Ahadian 3 and
Frank E Talke * 1
Affiliation

Affiliation

    1Center for Memory and Recording Research (CMRR), University of California, San Diego, USA

    2School of Electrical and Computer Engineering, Georgia Institute of Technology, USA

    3Department of Anesthesiology, Center for Pain Medicine, University of California, San Diego, USA

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要約

Recent advancements in computer-assisted surgical navigation have enhanced imaging precision while reducing fluoroscopy reliance. However, integrating these systems into outpatient interventional pain practices remains costly. This paper investigates a cost-effective Augmented Reality (AR) navigation system tailored for image-guided spinal pain procedures. We verify the feasibility of AR in spinal surgery and the potential of AR to replace fluoroscopy.

数字

Simplified spinal model with a detection feedback circuit. a) Cylinder representing the spine. b) Cylinder encased in gel representing the body of the patient. c) Circuit for detecting contact. Figure 1: Simplified spinal model with a detection feedback ...

参考文献

    1. Malham GM, Wells-Quinn T. What should my hospital buy next?-Guidelines for the acquisition and application of imaging, navigation, and robotics for spine surgery. J Spine Surg. 2019 Mar;5(1):155-165. doi: 10.21037/jss.2019.02.04. PMID: 31032450; PMCID: PMC6465454.
    2. Stahl CM, Cormier J, et al. Radiation risk to the fluoroscopy operator and staff. AJR Am J Roentgenol. 2016;207(4):737-744. PMID: 28829623.
    3. Yang Z, Xu L, et al. Advances and challenges in microdisplays and imaging optics for virtual reality and mixed reality. Device. 2024;2(6):100139.
    4. Molina CA, Theodore N, Ahmed AK, Westbroek EM, Mirovsky Y, Harel R, Orru' E, Khan M, Witham T, Sciubba DM. Augmented reality-assisted pedicle screw insertion: a cadaveric proof-of-concept study. J Neurosurg Spine. 2019 Mar 29;31(1):139-146. doi: 10.3171/2018.12.SPINE181142. PMID: 30925479.
    5. Li W, Zhou Y, et al. Penetration of ballistic gelatin by explosion-driven inert metal particles. Latin Am J Solids Struct. 2024;21(3). ISSN: 1679-7825.
    6. Alidoost F, Arefi H, Tombari F. 2D Image-to-3D Model: Knowledge-Based 3D Building Reconstruction (3DBR) Using Single Aerial Images and Convolutional Neural Networks (CNNs). Remote Sens. 2019;11(19).
    7. Zavala-Mondragon LA, de With PHN, van der Sommen F. Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CT. IEEE Trans Image Process. 2021;30:9386-9401. doi: 10.1109/TIP.2021.3125489. Epub 2021 Nov 17. PMID: 34757905.

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