title: Development and human factors analysis of neuronavigation vs. augmented reality.
abstract: This paper is focused on the human factors analysis comparing a standard neuronavigation system with an augmented reality system. We use a passive articulated arm (Microscribe, Immersion technology) to track a calibrated end-effector mounted video camera. In real time, we superimpose the live video view with the synchronized graphical view of CT-derived segmented object(s) of interest within a phantom skull. Using the same robotic arm, we have developed a neuronavigation system able to show the end-effector of the arm on orthogonal CT scans. Both the AR and the neuronavigation systems have been shown to be within 3mm of accuracy. A human factors study was conducted in which subjects were asked to draw craniotomies and answer questions to gage their understanding of the phantom objects. The human factors study included 21 subjects and indicated that the subjects performed faster, with more accuracy and less errors using the Augmented Reality interface.
authors.affiliation: Electrical and Computer Engineering Department, Wayne State University, Detroit, MI 48201, USA. apandya@ece.eng.wayne.edu
authors.forename: Abhilash
authors.initials: A
authors.lastname: Pandya
authors.forename: Mohammad-Reza
authors.initials: MR
authors.lastname: Siadat
authors.forename: Greg
authors.initials: G
authors.lastname: Auner
authors.forename: Mohammad
authors.initials: M
authors.lastname: Kalash
authors.forename: R Darin
authors.initials: RD
authors.lastname: Ellis
mesh_terms: D000328:Adult; D001921:Brain / Q000033:anatomy & histology; D006804:Ergonomics; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008953:Models, Anatomic; D014057:Tomography, X-Ray Computed; D014481:United States