Paper
25 March 2008 Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures
Y. L. Ma, K. S. Rhode, G. Gao, A. P. King, P. Chinchapatnam, T. Schaeffter, D. J. Hawkes, R. Razavi, G. P. Penney
Author Affiliations +
Abstract
We present a novel method to calibrate a 3D ultrasound probe which has a 2D transducer array. By optically tracking a calibrated 3D probe we are able to produce extended field of view 3D ultrasound images. Tracking also enables us to register our ultrasound images to other tracked and calibrated surgical instruments or to other tracked and calibrated imaging devices. Our method applies rigid intensity-based image registration to three or more ultrasound images. These images can either be of a simple phantom, or could potentially be images of the patient. In this latter case we would have an automated calibration system which required no phantom, no image segmentation and was optimized to the patient's ultrasound characteristics i.e. speed of sound. We have carried out experiments using a simple calibration phantom and with ultrasound images of a volunteer's liver. Results are compared to an independent gold-standard. These showed our method to be accurate to 1.43mm using the phantom images and 1.56mm using the liver data, which is slightly better than the traditional point-based calibration method (1.7mm in our experiments).
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. L. Ma, K. S. Rhode, G. Gao, A. P. King, P. Chinchapatnam, T. Schaeffter, D. J. Hawkes, R. Razavi, and G. P. Penney "Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69180O (25 March 2008); https://doi.org/10.1117/12.770174
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CITATIONS
Cited by 22 scholarly publications.
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KEYWORDS
Calibration

Image registration

Ultrasonography

Liver

3D image processing

Transducers

Image filtering

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