Abstract
This paper describes an image registration approach to calibration for freehand three-dimensional (3D) ultrasound. If a conventional ultrasound probe is tracked using a position sensor, and the relation between this sensor and the two-dimensional (2D) image plane is known, the resulting set of B-scans may be correctly compounded into an image volume. Calibration is the process of determining the transformation (rotation, translation, and optionally image scaling) that maps B-mode image slice coordinates to points in the coordinate system of the tracking sensor mounted on the ultrasound probe. A set of 2D ultrasound images of a calibration phantom is obtained using a tracked ultrasound probe. Calibration is performed by searching for the calibration parameters that maximise the similarity between a model of the calibration phantom, which can be an image volume or a geometrical model, and the ultrasound images transformed into the coordinate space of the phantom. Validation of this calibration method is performed using a gelatin phantom. Measures of the calibration reproducibility, reconstruction precision and reconstruction accuracy are presented for this technique, and compared to those obtained using a conventional cross-wire phantom. Registration-based calibration is shown to be a rapid and accurate method of automatic calibration for freehand 3D ultrasound.
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References
Barry, C.D., Allott, C.P., John, N.W., Mellor, P.M., Arundel, P.A., Thomson, D.S., Waterton, J.C.: Three-dimensional Freehand Ultrasound: Image Reconstruction and Volume Analysis. Ultrasound in Medicine and Biology 23(8), 1209–1224 (1997)
Carr, J.: Surface Reconstruction in 3D Medical Imaging. PhD Thesis, University of Canterbury, Christchurch, New Zealand (1996)
Detmer, P.R., Bashein, G., Hodges, T., Beach, K.W., Filer, E.P., Burns, D.H., Strand-ness Jr., D.E.: 3D Ultrasonic Image Feature Localization based on Magnetic Scanhead Tracking: In Vitro Calibration and Validation. Ultrasound in Medicine and Biology 20(4), 923–936 (1994)
Fenster, A., Downey, D.B.: 3D Ultrasonic Imaging: A Review. IEEE Engineering in Medicine and Biology 15(6), 41–51 (1996)
Hughes, S.W., D’Arcy, T.J., Maxwell, D.J., Chiu, W., Milner, A., Saunders, J.E., Sheppard, R.J.: Volume Estimation from Multiplanar 2D Ultrasound Images Using a Remote Electromagnetic Position and Orientation Sensor. Ultrasound in Medicine and Biology 22(5), 561–572 (1996)
Leotta, D.F., Detmer, P.R., Martin, R.W.: Performance of a Miniature Magnetic Position Sensor for Three-dimensional Ultrasound Imaging. Ultrasound in Medicine and Biology 23(4), 597–609 (1997)
Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Rapid Calibration for 3-D Freehand Ultrasound. Ultrasound in Medicine and Biology 24(6), 855–869 (1998)
Rohling, R.N.: 3D Freehand Ultrasound: Reconstruction and Spatial Compounding. PhD Thesis, University of Cambridge, England (1998)
Ryan, L.K., Foster, F.S.: Tissue Equivalent Vessel Phantoms for Intravascular Ultrasound. Ultrasound in Medicine and Biology 23(2), 261–273 (1997)
Studholme, C., Hill, D.L.G., Hawkes, D.J.: Automated 3-D registration of MR and CT images of the head. Medical Image Analysis 1(2), 163–175 (1996)
Studholme, C., Hill, D.L.G., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32(1), 71–86 (1999)
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Blackall, J.M., Rueckert, D., Maurer, C.R., Penney, G.P., Hill, D.L.G., Hawkes, D.J. (2000). An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_47
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DOI: https://doi.org/10.1007/978-3-540-40899-4_47
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