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Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgicallandmarks from preoperative images into a video overlay. Physical simulation isessential to maintaining accurate position of the landmarks as surgeryprogresses and ensuring patient safety by avoiding accidental damage to vesselsetc. In liver procedures, AR IG simulation accuracy is hampered by an inabilityto model stiffness variations unique to the patients disease. We introduce anovel method to account for patient specific stiffness variation based onMagnetic Resonance Elastography (MRE) data. To the best of our knowledge we arethe first to demonstrate the use of in-vivo biomechanical data for AR IGlandmark placement. In this early work, a comparative evaluation of our MREdata driven simulation and the traditional method shows clinically significantdifferences in accuracy during landmark placement and motivates further animalmodel trials.

Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance