  Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgical
landmarks from preoperative images into a video overlay. Physical simulation is
essential to maintaining accurate position of the landmarks as surgery
progresses and ensuring patient safety by avoiding accidental damage to vessels
etc. In liver procedures, AR IG simulation accuracy is hampered by an inability
to model stiffness variations unique to the patients disease. We introduce a
novel method to account for patient specific stiffness variation based on
Magnetic Resonance Elastography (MRE) data. To the best of our knowledge we are
the first to demonstrate the use of in-vivo biomechanical data for AR IG
landmark placement. In this early work, a comparative evaluation of our MRE
data driven simulation and the traditional method shows clinically significant
differences in accuracy during landmark placement and motivates further animal
model trials.
