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Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head

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Augmented Endoscopic Images Overlaying Shape Changes in Bone Cutting Procedures.

Megumi Nakao¹, Shota Endo¹, Shinichi Nakao²

¹Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo, Kyoto, Japan.

|September 2, 2016

Summary

This summary is machine-generated.

This study introduces endoscopic image augmentation to improve bone cutting accuracy during microendoscopic discectomy. The novel framework enhances intraoperative navigation, significantly improving surgical cutting performance.

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Area of Science:

Minimally Invasive Surgery
Medical Imaging
Surgical Navigation

Background:

Microendoscopic discectomy for spinal disorders involves bone cutting in confined spaces with limited visualization.
Current optical tracking systems lack sufficient shape information for precise cutting, even with preoperative imaging.
Intraoperative navigation faces challenges with real-time shape changes during bone cutting procedures.

Purpose of the Study:

To introduce a concept of endoscopic image augmentation for improved bone cutting during microendoscopic discectomy.
To develop a framework for real-time visualization of target structures and remaining bone to be cut.
To enhance accuracy and efficiency in surgical bone cutting procedures.

Main Methods:

Developed an endoscopic image augmentation framework utilizing drill tip location history as volume labels.
Integrated the framework with a clinical navigation system for real-time overlay of surgical guidance.
Conducted cutting experiments with volunteers to evaluate the system's feasibility and efficacy.

Main Results:

The proposed framework visualizes remaining bone to be cut in real time on the endoscopic image.
Experiments demonstrated significantly improved cutting performance, evaluated by shape similarity, tool movement, and time.
The system effectively aids in precise bone cutting within tight surgical spaces.

Conclusions:

Endoscopic image augmentation is a feasible and effective method for enhancing bone cutting during microendoscopic discectomy.
The developed framework improves intraoperative navigation by providing real-time visual cues for accurate bone resection.
This approach has the potential to improve surgical outcomes in spinal disorder treatments.