Abstract
The left ventricle is one of four heart chambers. It is situated underneath the left atrium in the bottom left portion of a heart, divided by the mitral valve. The left ventricle was the thickest chamber in the heart and is essential for pumping oxygenated blood through tissues in the entire body. Left ventricular failure occurs where left ventricle dysfunction induces inadequate blood circulation to vital body organs causes breathing problems, which seems to be a threat to people. The non-invasive medical imaging techniques would be more effective in early diagnosis for left ventricle dysfunction. In this real connection different medical imaging techniques, such as image enhancement and image segmentation, were developed based only on the basics of image processing techniques. The objective of this study is to develop a novel and robust algorithm that can enhance the efficiency of automatic LV segmentation on short-axis cardiac resonance imaging (MRI). This project shall be carried out on the basis of different thresholding methods and related qualitative analysis, in order to determine the best algorithm. It can also be implemented with the Matlab R2015b method or above. The outcome of this work is aimed for early detection and also to carry out effective care and measures.
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Venkata Dasu, M., Tabassum Khan, P., Venkata Swathi, M., Venkata Krishna Reddy, P. (2021). Robust Algorithm for Segmentation of Left Ventricle in Cardiac MRI. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_54
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DOI: https://doi.org/10.1007/978-981-15-7961-5_54
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