Abstract
In neurovascular image-guided surgery, surgeons use pre-operative vascular data sets (from angiography) to guide them. They map information from angiography images onto the patient on the operating room table to localize important vessels. This spatial mapping is complex, time consuming and prone to error. We’ve developed an augmented reality (AR) system to visualize the pre-operative vascular data within the context of a microscope/camera image. Such an AR visualization enhances the surgeon’s field of view with data that is not otherwise readily available (e.g., anatomical data beyond the visible surface or data about the flow of blood through the vessels), and it aids the surgeon to better understand the topology and locations of vessels that lie below the visible surface of the cortex. In this paper, we explore a number of different volume rendering methods for AR visualization of vessel topology and blood flow.
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Kersten-Oertel, M., Drouin, S., Chen, S.J.S., Collins, D.L. (2013). Volume Visualization for Neurovascular Augmented Reality Surgery. In: Liao, H., Linte, C.A., Masamune, K., Peters, T.M., Zheng, G. (eds) Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions. MIAR AE-CAI 2013 2013. Lecture Notes in Computer Science, vol 8090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40843-4_23
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DOI: https://doi.org/10.1007/978-3-642-40843-4_23
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