An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance Images PROJECT TITLE :An Efficient and Robust Method for Automatically Identifying the Left Ventricular Boundary in Cine Magnetic Resonance ImagesABSTRACT:Economical and strong identification of the left ventricular borders remains a challenging problem in cardiology. During this paper, we have a tendency to proposed an automatic methodology to segment the left ventricles and then establish their borders robustly. The proposed method is known as as “ABDC” as a result of it utilizes the strengths of 4 techniques: Automatic threshold choice; Boundary extraction, Deformation flow tracking, and Convex form modeling. We have a tendency to compared the proposed methodology with the PDE optical flow technique on 1660 pictures which are obtained from 10 complete short-axis cine MRI datasets (five traditional subjects and 5 patients). As it turned out, the proposed methodology is a lot of efficient and sturdy than the benchmark in segmenting LV borders. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest 3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization Exploiting Moving Objects: Multi-Robot Simultaneous Localization and Tracking
