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  • 标题:Active Shape Model based On A Spatio-Temporal A Priori Knowledge: Applied To Left Ventricle Tracking In Scintigraphic Sequences
  • 本地全文:下载
  • 作者:Dr. Said Ettaieb ; Dr. Kamel Hamrouni ; Dr. Su Ruan
  • 期刊名称:International Journal of Image Processing (IJIP)
  • 电子版ISSN:1985-2304
  • 出版年度:2012
  • 卷号:6
  • 期号:6
  • 页码:422-440
  • 出版社: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.
  • 关键词:Active Shape Model; A Priori Knowledge; spatio-temporal Shape Variation; Scintigraphic Sequences
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