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.
MRI Left ventricle segmentation and reconstruction for the study of the heart dynamics
Colantonio S;Moroni D;Salvetti O
2005
Abstract
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.File in questo prodotto:
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Descrizione: MRI left ventricle segmentation and reconstruction for the study of the heart dynamics
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