Abstract
The difficulties in the automatic registration of the ultrasound images of different fetal heads are mainly caused by the poor image quality, view dependent imaging property and the difference of brain tissues. To overcome these difficulties, a novel Gabor filter based preprocessing and a novel shape and pixel-property based registration method are proposed. The proposed preprocessing can effectively reduce the influence of the speckles on the registration and extract the intensity variation for the shape information. A reference head shape model is generated by fusing a prior skull shape model and the shape information from the reference image. Then, the reference head shape model is integrated into the conventional pixel-property based affine registration framework by a novel shape similarity measure. The optimization procedure is robustly performed by a novel mean-shift based method. Experiments using real data demonstrate the effectiveness of the proposed method.
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
Ionescu, G., Lavalle, S., Demongeot, J.: Automated Registration of Ultrasound with CT Images: Application to Computer Assisted Prostate Radiotheapy and Orthopedics. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 768–777. Springer, Heidelberg (1999)
Porter, B.C., Rubens, D.J., Smith, J.G., Totterman, S., Parker, K.J.: Three- Dimensional Registration and Fusion of Ultrasound and MRI Using Major Vessels as Fiducial Markers. IEEE Trans. Medical Imaging 20, 354–359 (2000)
Meyer, C.R., Boes, J.L., Kim, B., Bland, P.H., Lecarpentier, G.L., Fowlkes, J.B., Roubidoux, M.A., Carson, P.L.: Semiautomatic Registration of Volumetric Ultrasound Scans. Ultrasound Med. Biol. 25, 339–347 (1999)
Shekhar, R., Zagrodsky, V.: Mutual Imformation-Based Rigid and Nonrigid Registration of Ultrasound Volumes. IEEE Trans. Medical Imaging 21(1), 9–22 (2002)
Gee, H., Treece, G.M., Prager, R.W., Cash, C.J.C., Berman, L.: Rapid Registration for Wide Field of View Freehand Tree-Dimensional Ultrasound. IEEE Trans. Medical Imaging 22(11), 1344–1357 (2003)
Roche, A., Malandain, G., Pennec, X., Ayache, N.: The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1115–1124. Springer, Heidelberg (1998)
Chen, C.M., Lu, H.H., Han, K.: A Textural Approach Based on Gabor Functions for Texture Edge Detection in Ultrasound Images. Ultrasound Med. Biol. 27(4), 515–534 (2001)
Clausi, D.A., Jernigan, M.E.: Designing Gabor Filters for Optimal Texture Separability. Pattern Recognition 33, 1835–1849 (1999)
Bovik, A.C., Clark, M., Geisler, W.S.: Multichannel Texture Analysis Using Localized Spatial Filters. IEEE Trans. Pattern Anal. Machine Intell. 12(1), 55–73 (1990)
Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical Recipes in C, 2nd edn. Cambridge Univ. Press, Cambridge (1992)
Cheng, Y.: Mean Shift, Mode Seeking, and Clustering. IEEE Trans. Pattern Anal. Machine Intell. 17(8), 790–799 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cen, F., Jiang, Y., Zhang, Z., Tsui, H.T. (2004). Shape and Pixel-Property Based Automatic Affine Registration Between Ultrasound Images of Different Fetal Head. In: Yang, GZ., Jiang, TZ. (eds) Medical Imaging and Augmented Reality. MIAR 2004. Lecture Notes in Computer Science, vol 3150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28626-4_32
Download citation
DOI: https://doi.org/10.1007/978-3-540-28626-4_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22877-6
Online ISBN: 978-3-540-28626-4
eBook Packages: Springer Book Archive