Abstract
Spinal needle injections for back pain management are frequently carried out in hospitals and radiological clinics. Currently, these procedures are performed under fluoroscopy or CT guidance in specialized interventional radiology facilities. As an alternative, the use of inexpensive ultrasound image guidance promises to reduce the costs and increase the availability and safety of procedure. We propose to eliminate the need for ionizing radiation by creating a statistical shape model of the lumbar vertebrae and registering it to 3D ultrasound volumes of patient using a groupwise registration algorithm. From a total of 35 patient CT volumes, statistical shape models of the L2, L3 and L4 vertebrae are created, including the mean shapes and principal modes of variation. The statistical shape models are simultaneously registered to the 3D ultrasound by interchangeably optimizing the model parameters and their relative poses. We also use a biomechanical model to constrain the relative motion of the individual vertebra models throughout the registration process. The proposed method was validated on three phantoms with realistic spinal curvatures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barratt, D.C., Chan, C.S.K., Edwards, P.J., Penney, G.P., Slomczykowski, M., Carter, T.J., Hawkes, D.J.: Instantiation and registration of statistical shape models of the femur and pelvis using 3d ultrasound imaging. Medical Image Analysis 12(3), 358–374 (2008)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Foroughi, P., Song, D., Chintalapani, G., Taylor, R.H., Fichtinger, G.: Localization of pelvic anatomical coordinate system using uS/Atlas registration for total hip replacement. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 871–879. Springer, Heidelberg (2008)
Gill, S., Abolmaesumi, P., Fichtinger, G., Boisvert, J., Pichora, D., Borschneck, D., Mousavi, P.: Biomechanically constrained groupwise ultrasound to ct registration of the lumbar spine. Medical Image Analysis (2010) (in press)
Gill, S., Mousavi, P., Fichtinger, G., Chen, E., Boisvert, J., Pichora, D., Abolmaesumi, P.: Biomechanically constrained groupwise US to CT registration of the lumbar spine. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 803–810. Springer, Heidelberg (2009)
Gong, R.H., Stewart, J., Abolmaesumi, P.: A new representation of intensity atlas for gpu-accelerated instance generation. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 31-September 4, pp. 4399–4402 (2010)
Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 23(1), 151–160 (2004)
Khallaghi, S., Mousavi, P., Gong, R.H., Gill, S., Boisvert, J., Fichtinger, G., Pichora, D., Borschneck, D., Abolmaesumi, P.: Registration of a statistical shape model of the lumbar spine to 3D ultrasound images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6362, pp. 68–75. Springer, Heidelberg (2010)
Klocke, R., Jenkinson, T., Glew, D.: Sonographically guided caudal epidural steroid injections. Journal of Ultrasound in Medicine 22(11), 1229–1232 (2003)
Moore, J., Clarke, C., Bainbridge, D., Wedlake, C., Wiles, A., Pace, D., Peters, T.: Image guidance for spinal facet injections using tracked ultrasound. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 516–523. Springer, Heidelberg (2009)
Talib, H., Rajamani, K., Kowal, J., Nolte, L.P., Styner, M., Ballester, M.A.G.: A comparison study assessing the fesibility of ultrasound-initialized deformable bone models. Computer Aided Surgery 10(5/6), 293–299 (2005)
Wang, Q., Chen, L., Yap, P., et al.: Groupwise registration based on hierarchical image clustering and atlas synthesis. Human Brain Mapping 31(8), 1128–1140 (2010)
Watson, M.J., Evans, S., Thorp, J.M.: Could ultrasonography be used by an anaesthetist to identify a specified lumbar interspace before spinal anaesthesia? British Journal of Anaesthesia 90(4), 509–511 (2003)
Wein, W., Brunke, S., Khamene, A., Callstrom, M.R., Navab, N.: Automatic ct-ultrasound registration for diagnostic imaging and image-guided intervention. Medical Image Analysis 12(5), 577–585 (2008)
Winter, S., Brendel, B., Pechlivanis, I., Schmieder, K., Igel, C.: Registration of CT and intraoperative 3D ultrasound images of the spine using evolutionary and gradient-based methods. IEEE Transactions on Evolutionary Computation 12(3), 284–296 (2008)
Yushkevich, P.A., Piven, J., Cody Hazlett, H., Gimpel Smith, R., Ho, S., Gee, J.C., Gerig, G.: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31(3), 1116–1128 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Khallaghi, S., Mousavi, P., Borschneck, D., Fichtinger, G., Abolmaesumi, P. (2011). Biomechanically Constrained Groupwise Statistical Shape Model to Ultrasound Registration of the Lumbar Spine. In: Taylor, R.H., Yang, GZ. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2011. Lecture Notes in Computer Science, vol 6689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21504-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-21504-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21503-2
Online ISBN: 978-3-642-21504-9
eBook Packages: Computer ScienceComputer Science (R0)