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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
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Computed Tomography

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Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
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Related Experiment Video

Updated: Jun 8, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

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Spine Vision - X-Ray Image based GUI Planning of Pedicle Screws Using Enhanced YOLOv5 for Vertebrae Segmentation.

Yaswantha Rao P, Gaurisankar S, Durga R

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study introduces Spine-Vision, a novel Graphical User Interface (GUI) for precise spinal screw placement. It enhances surgical planning and intra-operative guidance using vertebrae segmentation on X-ray images.

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    Area of Science:

    • Medical Imaging
    • Surgical Technology
    • Artificial Intelligence in Medicine

    Background:

    • Precise spinal screw placement is critical for successful surgical outcomes.
    • Current methods may face challenges in accuracy and intra-operative guidance.
    • Minimizing complications like nerve injury requires enhanced preoperative planning.

    Purpose of the Study:

    • To develop and evaluate an innovative Graphical User Interface (GUI) for improved spinal screw placement.
    • To integrate real-time vertebrae segmentation for enhanced surgical precision.
    • To provide surgeons with advanced tools for preoperative planning and intra-operative guidance.

    Main Methods:

    • Development of a dual front-end and back-end computational system.
    • Implementation of a GUI for interactive screw placement simulation on X-ray images.
    • Utilizing a trained neural network for real-time vertebrae segmentation from spinal X-ray images.

    Main Results:

    • The GUI facilitates precise adjustment of screw placement on X-ray images.
    • Real-time vertebrae segmentation ensures accurate screw positioning.
    • The Spine-Vision system offers features like synchronous AP-LP planning and dynamic position adjustments.

    Conclusions:

    • The proposed X-ray image-based GUI workflow enhances precision and safety in spinal screw placement.
    • Vertebrae segmentation integrated into the GUI significantly reduces potential complications.
    • Spine-Vision serves as a valuable tool for improving surgical outcomes in spinal procedures.