›› 2011, Vol. 31 ›› Issue (2): 169-.doi: 10.3969/j.issn.1674-8115.2011.02.011

• Original article (Basic research) • Previous Articles     Next Articles

Methodological study on filtering and segmentation of three-dimensional echocardiographic images by virtual endoscopy

XUE Hai-hong1, CHEN Bin-jin2, SUN Kun1,3, YU Jian-guo2   

  1. 1.Department of Pediatric Cardiology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China；2.Department of Electronic Engineering, Fudan University, Shanghai 200433, China；3.Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
  • Online:2011-02-28 Published:2011-03-01
  • Supported by:

    National Natural Science Foundation of China, 30371497

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Abstract:

Objective To assess filtering and segmentation of three-dimensional echocardiographic images by virtual endoscopy. Methods Filtering and segmentation were performed for three-dimensional echocardiographic images of 30 children. Three-dimensional echocardiographic heart models were reconstructed by four different methods: ray-casting algorithm, ray-casting algorithm （gradient threshold ranged 3-19), ray-casting algorithm （gradient threshold ranged 3-6）and ray-casting algorithm (visualization after filtering and classification, gradient threshold ranged 3-6). Visualization results were compared. Results Ray-casting algorithm with visualization after filtering and classification performed better than the other methods, and the visible heart models showed precisely anatomy structure and spatial relationship including mitral valve, tricuspid valve and atrial septal defect. Conclusion Filtering and classification is helpful for visualization of three-dimensional echocardiographic virtual endoscopy.

Key words: virtual endoscopy, filtering, segmentation, three-dimensional echocardiography