The development of an evaluation framework for the quantitative assessment of computer-assisted surgery and augmented reality accuracy performance.

The paper describes a framework for the quantitative assessment of errors within a computer assisted surgical system. The framework diagrammatically describes the registration process and simulates the error propagation chain based on the assumption that errors can be described through the use of a normal distribution model. The projection error associated with a fluoroscopic image intensifier is given as an example.