Abstract
This paper addresses the registration of ultrasound scans and magnetic resonance (MR) volume datasets of the same patient. During a neurosurgery intervention, pre–operative MR images are often employed as a guide despite the fact that they do not show the actual state of the brain, which sometimes has sunk up to 1 cm. By means of a standard ecographer and a tracker connected to a computer, it is feasible to build on-line an updated picture of the brain. We propose an algorithm which first composes the volume ecography of the brain and registers it to the MR volume. Next, it aligns individual B-scans into the MR volume, thus providing a measure of the suffered deformation.
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References
Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Automatic calibration for 3–D free-hand ultrasound. Tech. Report CUED/F-INFENG/TR 303, Cambridge University, Department of Engineering (1997)
López, A.M., Lloret, D., Serrat, J., Villanueva, J.: Multilocal creaseness based on the level set extrinsic curvature. Computer Vision and Image Understanding 77, 111–144 (2000)
Roberts, D., Hartov, A., et al.: Intraoperative brain shift and deformation: A quantitative analysis of cortical displacement in 28 cases. Neurosurgery 43(4), 749–760 (1998)
Maurer, C.R., Hill, D.L.G., et al.: Measurement of intraoperative brain deformation using a 1.5 tesla interventional MR system: Preliminary results. IEEE Transactions on medical imaging 17(5), 817–825 (1998)
Roche, A., Pennec, X., Malandain, G.: Rigid registration of 3d ultrasound with mr images: a new approach combining intensitya nd gradient information. IEEE Transactions on medical imaging 20(10), 1038–1049 (2001)
Xiao, G., Brady, J.M., Noble, J.A.: Nonrigid registration of 3d free-hand ultrasound images of the breast. IEEE Transactions on medical imaging 21(4), 405–412 (2002)
Lloret, D.: Medical image registration based on a creaseness measure. PhD Thesis dissertation. Computer Vision Center, Universitat Autonoma de Barcelona (2001)
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© 2003 Springer-Verlag Berlin Heidelberg
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Lloret, D., Serrat, J., López, A.M., Villanueva, J.J. (2003). Ultrasound to Magnetic Resonance Volume Registration for Brain Sinking Measurement. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_49
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DOI: https://doi.org/10.1007/978-3-540-44871-6_49
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