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Dual Cavity Segmentation of Left and Right Ventricles in Cardiac MRI by Guided Random Walks with Registration

Mina Rezaei and Farshad Tajeripour
Department of Electronic and Computer Engineering, Shiraz University, Shiraz, Iran
Abstract—In this paper we propose a new method for accurate segmentation of the left and right ventricles simultaneously in cardiac magnetic resonance images. Our approach is based on guided random walks and registration in order to efficiently exploit the prior shape knowledge. The contribution of the proposed method is in using registration of the pre-segmented data and then guided random walks segmentation that allows covering the variations of dual cavity hearts (left and right ventricles) without needing a huge dataset. The proposed framework starts with some manually placed seeds which are used for initial estimation of the size of the heart in the input image and also provides the boundary conditions for the guided random walks. Then, the model is registered to the input image which will be segmented by the help of the model through solving a system of linear equations. The registration and segmentation will be repeated until the model and the input images are completely aligned and the optimal segmentation is achieved. For validation the proposed method is applied to 125 cardiac MR images including normal cases as well as patients. The promising experimental results (average Dice=86.43%) illustrate the benefits of our approach for dual cavity segmentation of the left and right ventricles.

Index Terms— segmentation by retrieval, Random walks, Registration, left and Right ventricle segmentation, cardiac cine MRI

Cite:Mina Rezaei and Farshad Tajeripour , "Dual Cavity Segmentation of Left and Right Ventricles in Cardiac MRI by Guided Random Walks with Registration", Journal of Medical and Bioengineering vol. 2, no. 1, pp.52-56, 2013. doi: 10.12720/jomb.2.1.52-56 
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