Paper
19 July 2013 Optical augmented reality assisted navigation system for neurosurgery teaching and planning
Hui-Qun Wu, Xing-Yun Geng, Li Wang, Yuan-Peng Zhang, Kui Jiang, Le-Min Tang, Guo-Min Zhou, Jian-Cheng Dong
Author Affiliations +
Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88783F (2013) https://doi.org/10.1117/12.2030573
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
This paper proposed a convenient navigation system for neurosurgeon's pre-operative planning and teaching with augmented reality (AR) technique, which maps the three-dimensional reconstructed virtual anatomy structures onto a skull model. This system included two parts, a virtual reality system and a skull model scence. In our experiment, a 73 year old right-handed man initially diagnosed with astrocytoma was selected as an example to vertify our system. His imaging data from different modalities were registered and the skull soft tissue, brain and inside vessels as well as tumor were reconstructed. Then the reconstructed models were overlayed on the real scence. Our findings showed that the reconstructed tissues were augmented into the real scence and the registration results were in good alignment. The reconstructed brain tissue was well distributed in the skull cavity. The probe was used by a neurosurgeon to explore the surgical pathway which could be directly posed into the tumor while not injuring important vessels. In this way, the learning cost for students and patients’ education about surgical risks reduced. Therefore, this system could be a selective protocol for image guided surgery(IGS), and is promising for neurosurgeon's pre-operative planning and teaching.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui-Qun Wu, Xing-Yun Geng, Li Wang, Yuan-Peng Zhang, Kui Jiang, Le-Min Tang, Guo-Min Zhou, and Jian-Cheng Dong "Optical augmented reality assisted navigation system for neurosurgery teaching and planning", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783F (19 July 2013); https://doi.org/10.1117/12.2030573
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KEYWORDS
Autoregressive models

Skull

Surgery

Brain

Tissues

3D modeling

Tumors

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