Active Shape Model based On A Spatio-Temporal A Priori Knowledge: Applied To Left Ventricle Tracking In Scintigraphic Sequences

International Journal of Image Processing

Kamel Hamrouni¹  Said Ettaieb¹  Su Ruan¹ 

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关键词: Active Shape Model;    A Priori Knowledge;    spatio-temporal Shape Variation;    Scintigraphic Sequences;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

The Active Shape Model – ASM is a class of deformable models that relies on a statistical a priori knowledge of shape for the segmentation of structures of interest [5]. The main contribution of this work is to integrate a new a priori knowledge about the spatio-temporal shape variation in this model. The aim is to define a new more stable method, allowing the reliable detection of structures whose shape changes considerably in time. The proposed method is based on two types of a priori knowledge: spatial and temporal variation of the shape of the studied structure. It was applied first on synthetic sequences then on scintigraphic sequences for tracking the left ventricle of the heart. The results were encouraging.

【 授权许可】

Unknown