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Updated: Jun 9, 2026
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Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion
Published on: August 6, 2019
Evaluation of errors influencing accuracy in image-guided neurosurgery
Yohei Watanabe1, Masazumi Fujii, Yuichiro Hayashi
1Graduate School of Medical Sciences, Nagoya University, Higashi-ku, Nagoya, Japan. watanabe.yohei@c.mbox.nagoya-u.ac.jp
Radiological Physics and Technology
|September 8, 2010
Summary
Accurate tumor localization in brain surgery is crucial. This study found that skin-shift and marker-gap errors significantly reduce neuronavigation accuracy, while table-rotation errors are negligible.
Area of Science:
- Neurosurgery
- Medical Imaging
- Surgical Navigation
Background:
- Precise tumor localization in brain parenchyma during microsurgery is challenging due to indistinct anatomical boundaries.
- Image-guided neurosurgery utilizing neuronavigation systems has become increasingly important for improving surgical accuracy.
Purpose of the Study:
- To evaluate the accuracy of neuronavigation systems by quantifying specific errors.
- To identify and assess the impact of skin-shift, marker-gap, and table-rotation errors on navigation precision.
Main Methods:
- A surgical phantom was employed to simulate and measure navigation errors.
- Quantified the impact of skin-shift, marker-gap, and table-rotation errors on neuronavigation accuracy.
Main Results:
- Skin-shift errors were found to decrease navigation accuracy by over 4 mm.
- Marker-gap errors led to a decrease in navigation accuracy exceeding 5 mm.
- Table-rotation errors were determined to be negligible.
Conclusions:
- Proper positioning of fiducial markers and secure fitting of marker balls are essential to avoid significant navigation errors.
- Phantoms are valuable tools for assessing accuracy and identifying room-specific errors in neuronavigation.
- Regular phantom-based quality assurance can help maintain the accuracy of neuronavigation systems in operating rooms.
