Abstract
Extraction of the mid-sagittal plane (MSP) in 3-D ultrasound fetal volume is an important procedure for first trimester screening. We present a robust semi-automated MSP extraction method for 3-D ultrasound fetal volume based on parametric template matching of an ellipse to the skull edge and on the combination of the local similarity measure and adaptive support-weight map. The algorithm is intended to reduce the variability of manual MSP detection. Our semi-automatically extracted MSPs are compared to those extracted manually by experts and experimental results demonstrate that our method is robust even in the presence of asymmetry, outlier and speckle noise with excellent detection accuracy for a large set of fetal volume data
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Snijders, R.J., Noble, P., Sebire, N., Souka, A., Nicolaides, K.H.: UK multicentre project on assessment of risk of trisomy 21 by maternal age and fetal nuchal translucency thickness at 10–14 weeks of gestation. Lancet 352(9125), 343–346 (1998)
Borenstein, M., Persico, N., Kagan, K.O., Gazzoni, A., Nicolaides, K.: Frontomaxillary facial angle in screening for trisomy 21 at 11 + 0 to 13 + 6 weeks. Ultrasound Obstet Gynecol 32, 5–11 (2008)
Chaoui, R., Nicolaides, K.H.: From nuchal translucency to intracranial translucency: towards the early detection of spina bifida. Ultrasound Obstet Gynecol 35, 133–138 (2010)
Michailidis, G., Papageorgiou, P., Economides, D.: Assessment of fetal anatomy in the first trimester using two and three-dimensional ultrasound. British Journal of Radiology 75, 215–219 (2002)
Borgefors, G.: Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 10(6), 849–865 (1988)
Ardekani, B., Kershaw, J., Braun, M., Kanno, I.: Automatic detection of the mid-sagittal plane in 3-D brain images. IEEE Trans. on Medical Imaging 16(6), 947–952 (1997)
Junck, L., Moen, J.G., Hutchins, G.D., Brown, M.B., Kuhl, D.E.: Correlation methods for the centering, rotation, and alignment of functional brain images. The Journal of Nuclear Medicine 31(7), 1220–1226 (1990)
Liu, Y., Collins, R.T., Rothfus, W.E.: Robust midsagittal plane extraction from normal and pathological 3D neuroradiology images. IEEE Trans. on Medical Imaging 20(3), 175–192 (2001)
Prima, S., Ourselin, S., Ayache, N.: Computation of the mid-sagittal plane in 3D brain images. IEEE Trans. on Medical Imaging 21(2), 122–138 (2002)
Teverovskiy, L., Liu, Y.: Truly 3D midsagittal plane extraction for robust neuroimage registration. In: Proc. of 3rd IEEE Intl. Symp. on Biomedical Imaging, pp. 860–863. IEEE (April 2006)
Tuzikov, A.V., Colliot, O., Bloch, I.: Evaluation of the symmetry plane in 3D MR brain images. Pattern Recognition Letters 24(14), 2219–2233 (2003)
Krissian, K., Kikinis, R., Westin, C.F., Vosburgh, K.: Speckle-constrained filtering of ultrasound images. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 547–552 (2005)
Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259–268 (1992)
Carneiro, G., Amat, F., Georgescu, B., Good, S., Comaniciu, D.: Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling. In: CVPR (2008)
Kanade, T., Okutomi, M.: A stereo matching algorithm with an adaptive window: theory and experiment. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(9), 920–932 (1994)
Veksler, O.: Fast variable window for stereo correspondence using integral images. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 556–561 (2003)
Yoon, K.-J., Kweon, I.S.: Adaptive support-weight approach for correspondence search. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(4), 650–656 (2006)
Darrell, T.: A radial cumulative similarity transform for robust image correspondence. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 656–662 (1998)
Pluim, J.P.W., Maintz, J.A., Viergever, M.A.: Image registration by maximization of combined mutual information and gradient information. Trans. on Medical Imaging 19(8), 809–814 (2000)
Yoon, K.-J., Kweon, I.S.: Stereo Matching with the Distinctive Similarity Measure. In: ICCV (2007)
Parzdny, K.: Detection of Binocular Disparities. Biological Cybern. 52, 93–99 (1985)
Xu, Y., Wang, D., Feng, T., Shum, H.Y.: Stereo Computation using Radial Adaptive Windows. In: Proc. Int’l Conf. Pattern Recognition, vol. 3, pp. 595–598 (2002)
Fusiello, A., Roberto, V., Trucco, E.: Efficient Stereo with Multiple Windowing. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 858–863 (1997)
Van Laarhoven, P.J.M., Aarts, E.H.L.: Simulated Annealing: Theory and Applications. D.Reidel Publishing Company, Kluwer Academic Publishers (1987)
Gonzalez, R., Wintz, P.: Digital Image Processing, 2nd edn. Addison-Wesley Publishing Company (1987)
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Lee, K.H., Lee, S.W. (2013). Robust Mid-Sagittal Plane Extraction in 3-D Ultrasound Fetal Volume for First Trimester Screening. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7725. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37444-9_25
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DOI: https://doi.org/10.1007/978-3-642-37444-9_25
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