title: Using registration uncertainty visualization in a user study of a simple surgical task.
abstract: We present a novel method to visualize registration uncertainty and a simple study to motivate the use of uncertainty visualization in computer-assisted surgery. Our visualization method resulted in a statistically significant reduction in the number of attempts required to localize a target, and a statistically significant reduction in the number of targets that our subjects failed to localize. Most notably, our work addresses the existence of uncertainty in guidance and offers a first step towards helping surgeons make informed decisions in the presence of imperfect data.
authors.affiliation: School of Computing, Queen's University, Kingston, Canada. simpson@cs.queensu.ca
authors.forename: Amber L
authors.initials: AL
authors.lastname: Simpson
authors.forename: Burton
authors.initials: B
authors.lastname: Ma
authors.forename: Elvis C S
authors.initials: EC
authors.lastname: Chen
authors.forename: Randy E
authors.initials: RE
authors.lastname: Ellis
authors.forename: A James
authors.initials: AJ
authors.lastname: Stewart
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005266:Femoral Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery*; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D010017:Osteoma, Osteoid / Q000000981:diagnostic imaging* / Q000601:surgery*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*; D013647:Task Performance and Analysis; D014057:Tomography, X-Ray Computed / Q000379:methods; D014584:User-Computer Interface