Abstract
MR – CT image registration has been used in the liver cancer treatment with an open MR Scanner to guide percutaneous puncture for ablation of tumors. Due to low magnetic field and limited acquisition time, MR images do not always show the target clearly. Sometimes, assistance of CT images is helpful for the navigation to the target. The shape of the liver within the surgical procedure is different from that of preoperative CT images due to the patient position for the convenience of surgery. It is quite difficult to match the images accuracy during surgery. In this paper, we have proposed a method to improve the registration accuracy of images with an open MR scanner and preoperative CT images of the liver. The method includes three parts. Firstly a semiautomatic method is used to extract the liver from MR and CT images as region of interest (ROI). Then, an affine registration is used to match the images roughly. Finally, BSpline-based nonrigid registration is applied. The results are found to be satisfactory with visual inspection by experts and with evaluation by the distance of two liver surfaces, while comparing with other methods.
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
Morikawa, S., Inubushi, T., Kurumi, Y., Naka, S., Sato, K., Tani, T., Yamamoto, I., Fujimura, M.: MR-Guided microwave thermocoagulation therapy of liver tumors: initial clinical experiences using a 0.5 T open MR system. J. Magn. Reson Imaging 16, 576–583 (2002)
Morikawa, S., Inubushi, T., Kurumi, Y., Naka, S., Sato, K., Demura, K., Tani, T., Haque, H.A., Tokuda, J., Hata, N.: Advanced computer assistance for magnetic resonance-guided microwave thermocoagulation of liver tumors. Acad. Radiol. 10, 1442–1449 (2003)
Sato, K., Morikawa, S., Inubushi, T., Kurumi, Y., Naka, S., Haque, H.A., Demura, K., Tnai, T.: Alternate biplanar MR navigation for microwave ablation of liver tumors. Magn. Reson Med. Sci. 4, 89–94 (2005)
Venot, A., Golmard, J.L., Lebruchec, J.F., Pronzato, L., Walter, E., Frij, G., Roucayrol, J.C.: Digital methods for change detection in medical images. In: Deconinck, F. (ed.) Information processing in medical imaging, pp. 1–16. Nijhoff publ., Dordrecht (1983)
Hoh, C.K., Dahlbom, M., Harris, G., Choi, Y., Hawkins, R.A., Phelps, M.E., Maddahi, J.: Automated iterative three-dimensional registration of positron emission tomography images. Journal of Nuclear Medicine 34, 2009–2018 (1993)
Scott, A.M., Macapinlac, H., Divgi, C.R., Zhang, J.J., Kalaigian, H., Pentlow, K., Hilton, S., Graham, M.C., Sgouros, G., Pelizzari, C., Chen, G., Schlom, J., Goldsmith, S.J., Larson, S.M.: Clinical validation of SPECT and CT/MRI image registration in radiolabeled monoclonal antibody studies of colorectal carcinoma. Journal of Nuclear Medicine 35, 1976–1984 (1994)
Scott, A.M., Macapinlac, H., Zhang, J., Daghighian, F., Montemayor, N., Kalaigian, H., Sgouros, G., Graham, M.C., Kolbert, K., Yeh, S.D.J., Lai, E., Goldsmith, S.J., Larson, S.M.: Image registration of SPECT and CT images using an external fiduciary band and three-dimensional surface fitting in metastatic thyroid cancer. Journal of Nuclear Medicine 36, 100–103 (1995)
Mehrdad, S., et al.: Automatic CT–SPECT registration of livers treated with radioactive microspheres. Phys. Med. Biol. 49 (2004)
Andres, C., Jeffrey, L.D., Jonathan, S.L., David, L.W.: Semiautomatic 3-D Image Registration as Applied to Interventional MRI Liver Cancer Treatment. IEEE Transaction on Medical Imaging 19, 175–185 (2000)
Pluim, J.: Information Based Registration of Medical Images, PhD thesis (2003)
Kelmen, A., Szekely, G., Gerig, G.: Elastic Model-Based Segmentation of 3-D Neuroradiological Data Sets. IEEE Transaction on Medical Imaging 18(10), 828–839 (1999)
Smith, S.M.: Fast Robust Automated Brain Extraction. Human Brain Mapping 17, 143–155 (2002)
Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.: f-Information measures in medical image registration. IEEE Transactions on Medical Imaging 23, 1506–1518 (2004)
Wells, W.M., Viola, P., Atsumi, H., Nakajima, S., Kikinis, R.: Multi-modelal volume registration by maximization of mutual information. Medical Image Analysis 1, 35–51 (1996)
William, H., Saul, A.T., et al.: http://www.library.cornell.edu/nr/bookcpdf.html
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images. IEEE Transaction on Medical Imaging 18(8), 712–721 (1999)
Hajnal, J.V., Hill, D.L.G., Hawkes, D.J.: Medical Image Registration. CRC Press, Boca Raton (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tang, S., Chen, Yw., Xu, R., Wang, Y., Morikawa, S., Kurumi, Y. (2006). MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds) Biomedical Image Registration. WBIR 2006. Lecture Notes in Computer Science, vol 4057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784012_35
Download citation
DOI: https://doi.org/10.1007/11784012_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35648-6
Online ISBN: 978-3-540-35649-3
eBook Packages: Computer ScienceComputer Science (R0)