Methodological study on filtering and segmentation of three-dimensional echocardiographic images by virtual endoscopy
Online published: 2011-03-01
Supported by
National Natural Science Foundation of China, 30371497
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.
XUE Hai-hong, CHEN Bin-jin, SUN Kun, et al . Methodological study on filtering and segmentation of three-dimensional echocardiographic images by virtual endoscopy[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2011 , 31(2) : 169 . DOI: 10.3969/j.issn.1674-8115.2011.02.011
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