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Augmented reality for the virtual dissection of white matter pathways
Sebastian Ille1, Ann-Katrin Ohlerth2, David Colle3
1Department of Neurosurgery, TUM Neuroimaging Center, Technical University of Munich, Germany, School of Medicine, Klinikum rechts der Isar, Ismaninger Str. 22, 81675, Munich, Germany.
Acta Neurochirurgica
|October 7, 2020
Summary
This study demonstrates that augmented reality (AR) fiber dissection is highly effective for neurosurgical training. The innovative AR method received positive feedback for its educational value in understanding complex white matter anatomy.
Area of Science:
- Neuroscience
- Medical Education
- Surgical Training
Background:
- The intricate human white matter network is crucial for brain function.
- Understanding white matter tract anatomy is essential for neuroscientists and neurosurgeons.
- A novel augmented reality (AR) method for fiber dissection was evaluated.
Purpose of the Study:
- To assess the efficacy and user experience of a new AR-based fiber dissection technique.
- To evaluate the educational potential of AR for learning white matter anatomy.
- To gauge the perceived clinical applicability of AR fiber dissection.
Main Methods:
- Fifteen neurosurgeons, neurolinguists, and neuroscientists participated in a questionnaire-based study.
- Participants virtually dissected language-related networks using AR goggles and diffusion tensor imaging fiber tracking (DTI FT) data from five glioma cases.
- The AR application was rated on a scale of 0 to 10.
Main Results:
- The overall AR fiber dissection experience was rated highly (median 8/10).
- Usefulness for education and courses received high scores (median 8/10).
- High educational value was anticipated across various professional levels, including students, residents, surgeons, and scientists.
Conclusions:
- The initial evaluation indicates that AR fiber dissection is a promising tool for educational purposes in neuroscience.
- The AR method shows potential for enhancing the training of specialists in white matter anatomy.
- The technology may also offer future clinical applications in neurosurgery.
