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.
Viant
W J
WJ
Department of Computer Science, University of Hull, Hull, UK.
D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D012984:Software; D013514:Surgical Procedures, Operative; D014584:User-Computer Interface