Estimation of Model Parameters for Steerable Needles
Document Type
Conference Proceeding
Publication Date
2010
Digital Object Identifier (DOI)
https://doi.org/10.1109/ROBOT.2010.5509380
Abstract
Flexible needles with bevel tips are being developed as useful tools for minimally invasive surgery and percutaneous therapy. When such a needle is inserted into soft tissue, it bends due to the asymmetric geometry of the bevel tip. This insertion with bending is not completely repeatable. We characterize the deviations in needle tip pose (position and orientation) by performing repeated needle insertions into artificial tissue. The base of the needle is pushed at a constant speed without rotating, and the covariance of the distribution of the needle tip pose is computed from experimental data. We develop the closed-form equations to describe how the covariance varies with different model parameters. We estimate the model parameters by matching the closed-form covariance and the experimentally obtained covariance. In this work, we use a needle model modified from a previously developed model with two noise parameters. The modified needle model uses three noise parameters to better capture the stochastic behavior of the needle insertion. The modified needle model provides an improvement of the covariance error from 26.1% to 6.55%.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
2010 IEEE International Conference on Robotics and Automation, p. 3703-3708
Scholar Commons Citation
Park, Wooram; Reed, Kyle B.; Okamura, Allison M.; and Chirikjian, Gregory S., "Estimation of Model Parameters for Steerable Needles" (2010). Mechanical Engineering Faculty Publications. 112.
https://digitalcommons.usf.edu/egr_facpub/112
