Abstract
In this work, we present an automatic segmentation of the left atrium on computed tomography imaging (CT). The left atrium has an important role in patients with ventricular dysfunction as a booster pump to augment ventricular volume. A method based on active contours models with gradient vector flow is proposed in this paper and applied for left atrium segmentation. At first, a contrast enhancement is applied to improve the image quality. The automated initialization method is followed by a region-growing technique for a preliminary segmentation. The result of this technique is used as initialization for a segmentation method using a Gradient Vector Flow (GVF) snake based approach. The initial model can hence be attracted to the borders of the left atrium following various internal and external forces including the gradient vector flow (GVF).
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Daoudi, A., Mahmoudi, S., Chikh, M.A. (2014). Automatic Segmentation of the Left Atrium on CT Images. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2013. Lecture Notes in Computer Science, vol 8330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54268-8_2
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DOI: https://doi.org/10.1007/978-3-642-54268-8_2
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