PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Colantonio S., Moroni D., Salvetti O. MRI left ventricle segmentation and reconstruction for the study of the heart dynamics. In: IEEE Symposium on Signal Processing and Information Technology - (Athens, Greece, December 18-21, 2005). Proceedings, pp. 213 - 218. IEEE, 2005.
 
 
Abstract
(English)
A two-stage method for left ventricle (LV) segmentation in Magnetic Resonance Imaging (MRI) is reported as the current results of an ongoing research carried on within a project devoted to the analysis and study of the cardiac dynamics. The first stage of the proposed method for LV segmentation is focused on the identification and localization of the left ventricle cavity, by means of fuzzy clustering and temporal regions tracking. The final segmentation is accomplished by a second processing stage, devoted to identify the left ventricle contours using an Artificial Neural Network.
Subject Left Ventricle Segmentation
Fuzzy Clustering
Artificial Neural Networks
Cardiac MRI
I.5.1 Models
I.4.9 Applications
I.5.2 Design Methodology
I.3.5 Computational Geometry and Object Modeling


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