Abstract
A novel automatic initialization procedure for left ventricle (LV) cardiac magnetic resonance (CMR) segmentation is proposed through the combination of a LV localization method based on multilevel Otsu thresholding and an elliptical annular template matching algorithm. We then propose to adapt the recent B-spline Explicit Active Surfaces (BEAS) framework to the properties of CMR images by integrating two dedicated energy terms: a weighted localized Chan-Vese region-based energy to explicitly control the equilibrium point between the two regions around each interface and a combined local and global region-based formulation for the myocardial region. The proposed method has been validated on 45 mid-ventricular images taken from the 2009 MICCAI LV segmentation challenge. Results show the efficiency of our method both in terms of shape accuracy and computational times.
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References
Miller, C., Pearce, K., Jordan, P., Argyle, R., Clark, D., Stout, M., Ray, S., Schmitt, M.: Comparison of real-time three-dimensional echocardiography with cardiovascular magnetic resonance for left ventricular volumetric assessment in unselected patients. Eur. Heart J. Cardiovasc. Imag. 13(2), 187–195 (2012)
Petitjean, C., Dacher, J.: A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis 15(2), 169–184 (2011)
Barbosa, D., Dietenbeck, T., Schaerer, J., D’hooge, J., Friboulet, D., Bernard, O.: B-spline explicit active surfaces: An efficient framework for real-time 3-D region-based segmentation. IEEE T. Image. Process. 21(1), 241–251 (2012)
Chen, T., Babb, J., Kellman, P., Axel, L., Kim, D.: Semiautomated segmentation of myocardial contours for fast strain analysis in cine displacement-encoded MRI. IEEE T. Med. Imaging 27(8), 1084–1094 (2008)
Lankton, S., Tannenbaum, A.: Localizing region-based active contours. IEEE T. Image. Process. 17(11), 2029–2039 (2008)
Barbosa, D., Bernard, O., Savu, O., Dietenbeck, T., Heyde, B., Claus, P., Friboulet, D., D’hooge, J.: Coupled B-spline active geometric functions for myocardial segmentation: A localized region-based approach. In: IEEE IUS, pp. 1648–1651 (2010)
Lu, Y., Radau, P., Connelly, K., Dick, A., Wright, G.A.: Segmentation of left ventricle in cardiac cine MRI: An automatic image-driven method. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 339–347. Springer, Heidelberg (2009)
Ciofolo, C., Fradkin, M., Mory, B., Hautvast, G., Breeuwer, M.: Automatic myocardium segmentation in late-enhancement MRI. In: IEEE ISBI, pp. 225–228 (2008)
Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11(285-296), 23–27 (1975)
Radau, P., Lu, Y., Connelly, K., Paul, G., Dick, A., Wright, G.: Evaluation framework for algorithms segmenting short axis cardiac MRI. MIDAS Journal (2009)
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Queirós, S. et al. (2013). Fast Fully Automatic Segmentation of the Myocardium in 2D Cine MR Images. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_9
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DOI: https://doi.org/10.1007/978-3-642-38899-6_9
Publisher Name: Springer, Berlin, Heidelberg
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