Automatic left ventricle segmentation based on multiatlas registration in 4D CT images

作者：Yang Guanyu; Chen Yang; Tang Lijun; Shu Huazhong; Toumoulin Christine

来源：2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, 2014-04-29 to 2014-05-02.

• Atlas registration
• Cardiac CT
• Clinical practices
• Coronary heart disease
• Left ventricles
• Multi-atlas
• Quantitative evaluation
• Spatial and temporal resolutions

Cardiac CT angiography (CCTA) is widely used in the diagnosis of coronary heart disease. It can provide 4D (3D + t) sequence with high spatial and temporal resolution. Segmentation of left ventricle (LV) in 4D CCTA sequence can provide useful information for clinical practice. In this paper, we present an automatic method for LV segmentation in 4D CCTA sequence in this paper. This method mainly relies on an accurate multi-atlas registration method. Thus, we first improve the multi-atlas registration method presented by Kirili et al. by adding an extra registration step with an estimated heart mask. Then, we use a two-stage framework based on multi-atlas registration to segment the LV in the 4D sequence. Quantitative evaluation results show that our proposed multi-atlas registration method outperforms the Kirili's method. Finally, experimental results using two 4D CCTA sequences indicate that our method can segment LV accurately.

• 出版日期2014
• 单位东南大学