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Using registration uncertainty visualization in a user study of a simple surgical task.

作者信息

Simpson Amber L, Ma Burton, Chen Elvis C S, Ellis Randy E, Stewart A James

机构信息

School of Computing, Queen's University, Kingston, Canada.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):397-404. doi: 10.1007/11866763_49.

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.

摘要

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