Estimation of boundary conditions for patient-specific liver simulation during augmented surgery

Conclusion:By estimating patient-specific boundary conditions, using tracked liver motion from RGB-D data, our approach significantly improves the accuracy of the liver model. The method inherently handles noisy observations, a substantial feature in the context of augmented reality.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research