
Proceedings Paper
Consistent evaluation of an ultrasound-guided surgical navigation system by utilizing an active validation platformFormat | Member Price | Non-Member Price |
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Paper Abstract
An ultrasound image-guided needle tracking systems have been widely used due to their cost-effectiveness and nonionizing
radiation properties. Various surgical navigation systems have been developed by utilizing state-of-the-art
sensor technologies. However, ultrasound transmission beam thickness causes unfair initial evaluation conditions due to
inconsistent placement of the target with respect to the ultrasound probe. This inconsistency also brings high uncertainty
and results in large standard deviations for each measurement when we compare accuracy with and without the
guidance. To resolve this problem, we designed a complete evaluation platform by utilizing our mid-plane detection and
time of flight measurement systems. The evaluating system uses a PZT element target and an ultrasound transmitting
needle. In this paper, we evaluated an optical tracker-based surgical ultrasound-guided navigation system whereby the
optical tracker tracks marker frames attached on the ultrasound probe and the needle. We performed ten needle trials of
guidance experiment with a mid-plane adjustment algorithm and with a B-mode segmentation method. With the midplane
adjustment, the result showed a mean error of 1.62±0.72mm. The mean error increased to 3.58±2.07mm without
the mid-plane adjustment. Our evaluation system can reduce the effect of the beam-thickness problem, and measure
ultrasound image-guided technologies consistently with a minimal standard deviation. Using our novel evaluation
system, ultrasound image-guided technologies can be compared under equal initial conditions. Therefore, the error can
be evaluated more accurately, and the system provides better analysis on the error sources such as ultrasound beam
thickness.
Paper Details
Date Published: 3 March 2017
PDF: 6 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 1013524 (3 March 2017); doi: 10.1117/12.2254464
Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Baowei Fei, Editor(s)
PDF: 6 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 1013524 (3 March 2017); doi: 10.1117/12.2254464
Show Author Affiliations
Emad M. Boctor, Johns Hopkins Univ. (United States)
Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Baowei Fei, Editor(s)
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