IBIS Neuronav
IBIS (Intraoperative Brain Imaging System) Neuronav is an Image-Guided Neurosurgery planning and guidance software platform. It is meant to replicate the basic functionality of commercial image-guided systems such as Medtronic’s StealthStation while offering researchers an open system in which they can incorporate cutting-edge research modules for validation.
Description
On top of the basic features, Ibis provides a plugin system that allows developers to quickly implement new functionality.
IBIS is based on several open source technologies. The graphical user interface is built on Qt. Rendering of graphic window is done using the VTK framework augmented with some custom VTK classes. Additional data filtering is done with ITK and OpenCV. Ibis can render all kinds of medical images in both 2D slice views and 3D views. The 3D view can optionally contain volumetric rendering. In the OR, the software can be connected to an optical tracking system to register the patient to preoperative data. By attaching an optical tracking device to a video camera, Ibis is able to produce an augmented reality view of the operating field.
Basic Features
Ibis can render all kinds of medical images in both 2D slice views and 3D views. The 3D view can optionally contain volumetric rendering. In the OR, the software can be connected to an optical tracking system to register the patient to preoperative data.
Ultrasound navigation
Augmented Reality
By attaching an optical tracking device to a video camera, Ibis is able to produce an augmented reality view of the operating field.
Publications
- Drouin, S., Kersten-Oertel, M., Chen, S., Collins, D.L. ‘’A Realistic Test and Development Environment for Mixed Reality in Neurosurgery’‘. Springer Lecture Notes In Computer Science, Vol. 7264, 13–23 (2012).
- Mercier, L., Del Maestro, R.F., Petrecca, K., Kochanowska, A., Drouin, S., Yan, C., Janke, A. L., Chen, S., Collins, D.L. New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation. Int J Comput Assist Radiol Surg 6(4), 507–522 (2011).
