TY - GEN
T1 - Trajectory planning with Augmented Reality for improved risk assessment in image-guided keyhole neurosurgery
AU - Shamir, Reuben R.
AU - Horn, Martin
AU - Blum, Tobias
AU - Mehrkens, Janh
AU - Shoshan, Yigal
AU - Joskowicz, Leo
AU - Navab, Nassir
PY - 2011
Y1 - 2011
N2 - We present a new preoperative planning method for reducing the risk associated with the insertion of straight tools in image-guided keyhole neurosurgery. The method quantifies the risks of multiple candidate trajectories and presents them on a physical model of a head using Augmented Reality (AR) to assist the neurosurgeon in selecting the safest path. The surgeon can then define and/or revise the trajectory in the physical space with AR visualization of risk structures such as blood vessels and ventricles, tool placement uncertainty, and quantitative risk measurements. Then, the neurosurgeon can revise the selected path on the 2D MRI image slices to incorporate all relevant information. Finally, a simulation of the surgery can be performed on the physical head model for a more detailed examination of the possible risks. Our preliminary results on clinical data show that in complex situations the method can improve risk assessment.
AB - We present a new preoperative planning method for reducing the risk associated with the insertion of straight tools in image-guided keyhole neurosurgery. The method quantifies the risks of multiple candidate trajectories and presents them on a physical model of a head using Augmented Reality (AR) to assist the neurosurgeon in selecting the safest path. The surgeon can then define and/or revise the trajectory in the physical space with AR visualization of risk structures such as blood vessels and ventricles, tool placement uncertainty, and quantitative risk measurements. Then, the neurosurgeon can revise the selected path on the 2D MRI image slices to incorporate all relevant information. Finally, a simulation of the surgery can be performed on the physical head model for a more detailed examination of the possible risks. Our preliminary results on clinical data show that in complex situations the method can improve risk assessment.
KW - augmented reality
KW - computer aided surgery
KW - path planning
KW - personalized medicine
KW - simulation
KW - uncertainty visualization
UR - http://www.scopus.com/inward/record.url?scp=80055026030&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872773
DO - 10.1109/ISBI.2011.5872773
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AN - SCOPUS:80055026030
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1873
EP - 1876
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -