Abstract
Accurate bone registration is essential for orthopedic surgical navigation and robotic assistance. In a common workflow, the surgeon needs to identify and probe a number of prescribed locations on the exposed bone surface to obtain data points for registration, which can be difficult and time-consuming under limited surgical exposure. Reducing the number of required points while providing clear probing guidance would ease the surgeon's acquisition task intra-operatively. We present ActiveReg, a closed-loop framework that recommends probing regions rather than individual points, allowing flexibility in the exact contact location. A D-optimal planner that takes into account the already acquired points and the uncertainty of current registration information helps achieve accurate registration with fewer points. An online assessment combines pre-update innovation consistency with uncertainty at predefined surgical task locations improves the reliability of completion decision, without requiring ground truth. Simulations across four anatomical scenarios demonstrated that ActiveReg can achieve competitive accuracy compared with baseline registration methods while using substantially fewer acquired points. Real phantom experiments with optical and electromagnetic tracking demonstrated comparable mean target registration error to the Gradient-SDF framework, using only 24-28 acquired points instead of 771-1263.
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Publication details
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- Open access
- Green open access
Cite this article
APA 7
Li, T., Wang, Y., Walker, P., Zhao, L., & Huang, S. (2026). ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration. https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration
MLA 9
Li, Tiancheng, et al. "ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration." https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration.
Chicago (author–date)
Li, Tiancheng, Yingyu Wang, Peter Walker, Liang Zhao, and Shoudong Huang. 2026. "ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration." https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration.
Harvard
Li, T., Wang, Y., Walker, P., Zhao, L. and Huang, S. (2026) 'ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration', Available at: https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration.
Vancouver
Li T, Wang Y, Walker P, Zhao L, Huang S. ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration. https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration
IEEE
T. Li, Y. Wang, P. Walker, L. Zhao, and S. Huang, "ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration," https://omanscience.com/en/articles/activereg-information-driven-active-regional-probing-for-partial-to-full-bone-registration.