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.
@InProceedings{ simpson:2006:URUV, author = {Amber L. Simpson and Burton Ma and Elvis C. S. Chen and Randy E. Ellis and A. James Stewart}, title = {Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task}, booktitle = {Medical Image Computing and Computer-Assisted Intervention. (MICCAI 2006)}, pages = {397--404}, year = {2006}, volume = {4191}, series = {Lecture Notes in Computer Science}, }