Calibration Method for Determining the Physical Location of the Ultrasound Image Plane (original) (raw)

Abstract

This paper describes a calibration method for determining the physical location of the ultrasound (US) image plane relative to a rigidly attached 3D position sensor. A calibrated US probe can measure the 3D spatial location of anatomic structures relative to a global coordinate system. The calibration is performed by aiming the US probe at a calibration target containing a known point (1 mm diameter sphere) in physical space. This point is repeatedly collected at various locations in the US image plane to produce the calibration dataset. An idealized model of the collection process is used to eliminate outliers from the calibration dataset and also to examine the theoretical accuracy limits of this method. The results demonstrate accurate and robust calibration of the 3D spatial relationship between the US image plane and the 3D position sensor.

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Author information

Authors and Affiliations

  1. Center for Medical Robotics and Computer Assisted Surgery, Carnegie Mellon University, Pittsburgh, PA, USA
    Devin V. Amin Ph.D., Takeo Kanade Ph.D & Richard S. LaBarca MS
  2. Center for Medical Robotics and Computer Assisted Surgery, UPMC Shadyside Hospital, Pittsburgh, PA, USA
    Branislav Jaramaz Ph.D., Anthony M. DiGioia III MD, Constantinos Nikou MS & James E. Moody Jr MS

Authors

  1. Devin V. Amin Ph.D.
  2. Takeo Kanade Ph.D
  3. Branislav Jaramaz Ph.D.
  4. Anthony M. DiGioia III MD
  5. Constantinos Nikou MS
  6. Richard S. LaBarca MS
  7. James E. Moody Jr MS

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Amin, D.V. et al. (2001). Calibration Method for Determining the Physical Location of the Ultrasound Image Plane. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_112

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