Hippocampus Segmentation Based on Prior Knowledge and GAC Model

摘要：

This paper proposes a hippocampus segmentation method integrating prior knowledge with Geodesic active contour (GAC) model and applies it to the human brain sagittal MR images. GAC model is an effective image segmentation method. For specific objects, however, if some prior knowledge of objects is introduced, better segmentation results can be achieved. According to the form of external force in GAC model, the prior region and prior shape knowledge are both transformed into prior force, which can be embedded in the active contour model. Some important parameters of the model are also analyzed to find out their influence on the trend of contour evolution.

关键词： GAC model prior region prior shape hippocampus segmentation

作者: Lujun Zhang Mingyan Jiang Mingqiang Yang

作者单位: School of Information Science and Engineering, Shandong University, Jinan, 250100, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1102-1105

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）