Abstract
Tracked intra-operative ultrasound can be registered to real-time synthetic ultrasound derived from a motion model to align pre-operative images with a patient’s anatomy during an intervention. Furthermore, synchronisation of the motion model with the patient’s breathing can be achieved by comparing diaphragm motion obtained from the tracked ultrasound, with that obtained from the synthetic ultrasound. The purpose of this study was to assess the effects of spatial misalignment between the tracked and synthetic ultrasound images on synchronisation accuracy. Deformable image registration of 4-D volunteer MR data was used to build realistic subject-specific liver motion models. Displacements predicted by the motion model were applied to acoustic parameter maps obtained from segmented breath-hold MR volumes, and dynamic B-mode ultrasound images were simulated using a fast ultrasound propagation method. To prevent synchronisation errors due to breathing variations between motion model acquisition and interventional ultrasound imaging from influencing the results, we simulated both the synthetic and the tracked ultrasound using a single motion model. Spatial misalignments of up to ±2 cm between the tracked and synthetic ultrasound resulted in a maximum motion model breathing phase error of approx. 3 %, indicating that respiratory synchronisation of a motion model using tracked ultrasound is relatively insensitive to spatial misalignments.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
McClelland, J.R., Blackall, J.M., Tarte, S., et al.: A continuous 4D motion model from multiple respiratory cycles for use in lung radiotherapy. Medical Physics 33(9), 3348–3358 (2006)
Nguyen, T.N., Moseley, J.L., Dawson, L.A., et al.: Adapting liver motion models using a navigator channel technique. Medical Physics 36(4), 1061–1073 (2009)
White, M.J., Hawkes, D.J., Melbourne, A., et al.: Motion artifact correction in free-breathing abdominal MRI using overlapping partial samples to recover image deformations. Magnetic Resonance in Medicine 62(2), 440–449 (2009)
King, A.P., Boubertakh, R., Rhode, K.S., et al.: A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures. Medical Image Analysis 13(3), 419–431 (2009)
Wein, W., Brunke, S., Khamene, A., et al.: Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention. Medical Image Analysis 12(5), 577–585 (2008)
Shams, R., Hartley, R., Navab, N.: Real-time simulation of medical ultrasound from CT images. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 734–741. Springer, Heidelberg (2008)
Reichl, T., Passenger, J., Acosta, O., Salvado, O.: Ultrasound goes GPU: real-time simulation using CUDA. In: SPIE, vol. 7261 (2009)
King, A.P., Ma, Y.-L., Yao, C., Jansen, C., Razavi, R., Rhode, K.S., Penney, G.P.: Image-to-physical registration for image-guided interventions using 3-D ultrasound and an ultrasound imaging model. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 188–201. Springer, Heidelberg (2009)
Ruan, D., Fessler, J.A., Balter, J.M., Keall, P.J.: Real-time profiling of respiratory motion: baseline drift, frequency variation and fundamental pattern change. Physics in Medicine and Biology 54(15), 4777–4792 (2009)
Timinger, H., Krueger, S., Dietmayer, K., Borgert, J.: Motion compensated coronary interventional navigation by means of diaphragm tracking and elastic motion models. Physics in Medicine and Biology 50(3), 491–503 (2005)
Crum, W.R., Tanner, C., Hawkes, D.J.: Anisotropic multi-scale fluid registration: evaluation in magnetic resonance breast imaging. Physics in Medicine and Biology 50(21), 5153–5174 (2005)
von Siebenthal, M., Székely, G., Lomax, A.J., Cattin, P.C.: Systematic errors in respiratory gating due to intrafraction deformations of the liver. Medical Physics 34(9), 3620–3629 (2007)
McClelland, J.R., Chandler, A.G., Blackall, J.M., Ahmad, S., Landau, D.B., Hawkes, D.J.: 4D motion models over the respiratory cycle for use in lung cancer radiotherapy planning. In: SPIE, vol. 5744, pp. 173–183 (2005)
Goldstein, A., Madrazo, B.L.: Slice-thickness artifacts in gray-scale ultrasound. Journal of Clinical Ultrasound 9(7), 365–375 (1981)
Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: SIGGRAPH 2001, pp. 341–346. ACM, New York (2001)
Zhu, Y., Magee, D.R., Ratnalingam, R., Kessel, D.: A virtual ultrasound imaging system for the simulation of ultrasound-guided needle insertion procedures. In: Medical Image Understanding and Analysis (2006)
Frangi, A., Niessen, W., Vincken, K., Viergever, M.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Curry, T.S., Dowdey, J.E., Murry, R.C.: Christensen’s Physics of Diagnostic Radiology, 4th edn. Lea & Febiger, Philadelphia (1990)
Modat, M., Ridgway, G., Taylor, Z., et al.: Fast free-form deformation using graphics processing units. In: Computer Methods and Programs in Biomedicine (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rijkhorst, EJ., Heanes, D., Odille, F., Hawkes, D., Barratt, D. (2010). Simulating Dynamic Ultrasound Using MR-derived Motion Models to Assess Respiratory Synchronisation for Image-Guided Liver Interventions . In: Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2010. Lecture Notes in Computer Science, vol 6135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13711-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-13711-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13710-5
Online ISBN: 978-3-642-13711-2
eBook Packages: Computer ScienceComputer Science (R0)