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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Using Registration Uncertainty Visualization in a User Study of a Simple Surgical Task
verfasst von : Amber L. Simpson, Burton Ma, Elvis C. S. Chen, Randy E. Ellis, A. James Stewart
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Verlag: Springer Berlin Heidelberg
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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.