Abstract
We present a registration method for breast dynamic contrast-enhanced(DCE) MRI data based on texture information. The algorithm combines feature and spatial information to propose an image segmentation based on a Hidden Markov Random Measure Field(HMRMF) model using expectation-maximisation(EM) iteration. It can be used to simultaneously estimate parameters in order to segment and register the images iteratively. Global motions are modeled by an affine transformation, while local breast motions are described using free-form deformations(FFD) based on B-splines. Experimental results on real DCE-MRI data are presented to demonstrate the performance of the algorithm.
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Kuhl, C.K., Mielcareck, P., Klaschik, S., Leuter, C., Wardelmann, E., Gieseke, J.: Dynamic breast mr imaging: Are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology 211, 101–110 (1999)
Xiaohua, C., Brady, M., Moore N, J.L.: Simultaneous segmentation and registration of contrast-enhanced breast mri. Information Processing in Medical Imaging (2005)
Yang Can Gong, M.B.: Texture based mammogram classification and segmentation. Digital Mammography / IWDM, 616–625 (2006)
M.V. (Statistic approach to texture classifications)
Jose, L., Marroquin, E.A.S., Botello, S.: Hidden markov measure field models for image segmentation. IEEE 25(11), 1380–1387 (2003)
Press, W.H., Teukolsky, S.A., William, T.V., Flannery, B.P.: Numerical Recipes in C. Cambridge University Press, Cambridge (1992)
Rueckert, D., Sonoda, L.I., Hayer, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: Application to breast mr images. IEEE Transactions on Medical Imaging, 18, 712–721 (1999)
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© 2008 Springer-Verlag Berlin Heidelberg
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Gong, Y.C., Brady, M. (2008). Texture-Based Simultaneous Registration and Segmentation of Breast DCE-MRI. In: Krupinski, E.A. (eds) Digital Mammography. IWDM 2008. Lecture Notes in Computer Science, vol 5116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70538-3_25
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DOI: https://doi.org/10.1007/978-3-540-70538-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70537-6
Online ISBN: 978-3-540-70538-3
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