Abstract
Heart atlas reconstruction plays an important role in the personalized disease diagnosis, modeling and simulation. In this paper, we proposed a flexible framework of heart atlas reconstruction, which consists of vectorization of labeled heart dataset and mesh reconstruction based on contour lines. The proposed framework is the combination of some traditional methods, the contribution of this paper is that performance is good through combining the various methods. We evaluated the proposed method on the visible human cardiac datasets. The experiment results manifest that the reconstructed atlas is high-efficiency and accurate.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 133-138 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538626368 |
| DOIs | |
| State | Published - 2 Jul 2017 |
| Externally published | Yes |
| Event | 7th International Conference on Virtual Reality and Visualization, ICVRV 2017 - Zhengzhou, China Duration: 21 Oct 2017 → 22 Oct 2017 |
Publication series
| Name | Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017 |
|---|
Conference
| Conference | 7th International Conference on Virtual Reality and Visualization, ICVRV 2017 |
|---|---|
| Country/Territory | China |
| City | Zhengzhou |
| Period | 21/10/17 → 22/10/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Atlas
- Heart
- Reconstruction
- Vectorization
- Visible human
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