Simpson Amber L, Ma Burton, Chen Elvis C S, Ellis Randy E, Stewart A James
School of Computing, Queen's University, Kingston, Canada.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):397-404. doi: 10.1007/11866763_49.
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.
