27 November 2018 Phantom with multiple active points for ultrasound calibration
Haichong K. Zhang, Alexis Cheng, Younsu Kim, Qianli Ma, Gregory S. Chirikjian, Emad M. Boctor
Author Affiliations +
Abstract
Accurate tracking and localization of ultrasound (US) images are used in various computer-assisted interventions. US calibration is a preoperative procedure to recover the transformation bridging the tracking sensor and the US image coordinate systems. Although many calibration phantom designs have been proposed, a limitation that hinders the resulted calibration accuracy is US elevational beam thickness. Previous studies have proposed an active-echo (AE)-based calibration concept to overcome this limitation by utilizing dynamic active US feedback from a single PZT element-based phantom, which assists in placing the phantom within the US elevational plane. However, the process of searching elevational midplane is time-consuming and requires dedicated hardware to enable “AE” functionality. Extending this active phantom, we present a US calibration concept and associated mathematical framework enabling fast and accurate US calibration using multiple “active” points. The proposed US calibration can simplify the calibration procedure by minimizing the number of times midplane search is performed and shortening calibration time. This concept is demonstrated with a configuration mechanically tracking a US probe using a robot arm. We validated the concept through simulation and experiment, and achieved submillimeter calibration accuracy. This result indicates that the multiple active-point phantom has potential to provide superior calibration performance for applications requiring high tracking accuracy.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Haichong K. Zhang, Alexis Cheng, Younsu Kim, Qianli Ma, Gregory S. Chirikjian, and Emad M. Boctor "Phantom with multiple active points for ultrasound calibration," Journal of Medical Imaging 5(4), 045001 (27 November 2018). https://doi.org/10.1117/1.JMI.5.4.045001
Received: 19 September 2017; Accepted: 10 October 2018; Published: 27 November 2018
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Calibration

Image segmentation

Ultrasonography

Chemical elements

Ferroelectric materials

Sensors

3D acquisition

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