Automatic segmentation of coronary tree in CT angiography images
文献类型：期刊论文
| 作者 | Z Gao; X Liu; S Qi; W Wu; WK Hau; H Zhang |
| 刊名 | ADVANCED BIO-SIGNAL PROCESSING TECHNIQUES I N MEDICAL APPLICATIONS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | In this study, we proposed an automatic approach to segment the three-dimensional coronary tree from computed tomography angiography (CTA) image data. Compared to the previous studies, our approach can efficiently locate the coronary root through extracting aorta by using circular Hough transform. Then, we extracted the two-dimensional coronary borders in multiple projection directions by dynamic programming and used the border information to reconstruct the coronary surface by the spline fitting. The performance of our approach has been validated on the CTA dataset from 50 subjects, with the comparison to the manual segmentation by an experienced medical physician on the corresponding CTA data and X-ray angiography data. Our experiments have shown that the average bias between our approach and the manual segmentation are 2.44 mm2 with confidence interval [-2.20 mm2, 6.68 mm2] for cross-sectional lumen area, 0.84 mm with confidence interval [-2.76 mm, 4.44 mm] for maximum lumen diameter, and 0.32 mm with confidence interval [-1.14 mm, 1.78 mm] for minimum lumen diameter. The results can demonstrate the potential effectiveness of our approach in CTA image processing |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12621]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | ADVANCED BIO-SIGNAL PROCESSING TECHNIQUES I N MEDICAL APPLICATIONS |
| 推荐引用方式 GB/T 7714 | Z Gao,X Liu,S Qi,et al. Automatic segmentation of coronary tree in CT angiography images[J]. ADVANCED BIO-SIGNAL PROCESSING TECHNIQUES I N MEDICAL APPLICATIONS,2017. |
| APA | Z Gao,X Liu,S Qi,W Wu,WK Hau,&H Zhang.(2017).Automatic segmentation of coronary tree in CT angiography images.ADVANCED BIO-SIGNAL PROCESSING TECHNIQUES I N MEDICAL APPLICATIONS. |
| MLA | Z Gao,et al."Automatic segmentation of coronary tree in CT angiography images".ADVANCED BIO-SIGNAL PROCESSING TECHNIQUES I N MEDICAL APPLICATIONS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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