Estimation of surgical tool-tip tracking error distribution in coordinate reference frame involving pivot calibration uncertainty

Healthcare Technology Letters

article

Zhe Min¹  Hongliang Ren²  Max Q.-H. Meng¹ 

[1] Robotics and Perception Laboratory, The Chinese University of Hong Kong;Laboratory of Medical Mechatronics, National University of Singapore

关键词: surgery;    calibration;    image registration;    covariance matrices;    statistics;    Monte Carlo methods;    medical image processing;    optical tracking;    biomedical optical imaging;    surgical tool-tip tracking error distribution;    coordinate reference frame;    pivot calibration uncertainty;    decision making;    image-guided surgery;    total target registration error;    TTRE;    single-rigid registration;    target localisation error;    TLE;    first-order approximation;    fiducial localisation error;    covariance matrix;    root-mean-square;    RMS;    optical tracking system;    OTS;    mean statistics;    TTRE statistics;    Monte Carlo simulations;    optical tracking system;   

DOI  :  10.1049/htl.2017.0065

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

Accurate understanding of surgical tool-tip tracking error is important for decision making in image-guided surgery. In this Letter, the authors present a novel method to estimate/model surgical tool-tip tracking error in which they take pivot calibration uncertainty into consideration. First, a new type of error that is referred to as total target registration error (TTRE) is formally defined in a single-rigid registration. Target localisation error (TLE) in two spaces to be registered is considered in proposed TTRE formulation. With first-order approximation in fiducial localisation error (FLE) or TLE magnitude, TTRE statistics (mean, covariance matrix and root-mean-square (RMS)) are then derived. Second, surgical tool-tip tracking error in optical tracking system (OTS) frame is formulated using TTRE when pivot calibration uncertainty is considered. Finally, TTRE statistics of tool-tip in OTS frame are then propagated relative to a coordinate reference frame (CRF) rigid-body. Monte Carlo simulations are conducted to validate the proposed error model. The percentage passing statistical tests that there is no difference between simulated and theoretical mean and covariance matrix of tool-tip tracking error in CRF space is more than 90% in all test cases. The RMS percentage difference between simulated and theoretical tool-tip tracking error in CRF space is within 5% in all test cases.

【 授权许可】

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