A Novel Approach For 3D Surface Reconstruction Of LV Endocardium Based On SPCNN And MC
Ruoming Lei, Yurun Ma, Kemin Wang, Yide Ma
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.12How to use a DOI?
- 3D surface reconstruction, Left ventricle, Cubic Spline Interpolation, SPCNN segmentation, MC
- The auxiliary diagnosis based on three-dimensional (3D) modeling techniques can improve the diagnosis efficiency of heart disease. In this paper, we propose a new method for the 3D modeling of left ventricle. The novel approach incorporatestwo key points: one is LV endocardium segmentation via the simplified pulse-coupled neural network (SPCNN), and the other is interpolation between slices. To ensure the accuracy of modeling, we firstly use the cubic spline interpolation to increase the resolution between slices. Then, the endocardial contours of all slices are automatically obtained based on SPCNN. Finally, Marching Cubes (MC) algorithm is implemented to reconstruct the LV endocardial surface. We test the new method on four setsof 3D data and obtain effective results. The APD and ODM are respectively 1.7950mm and 91.34% for the endocardium segmentation, which makes the surface reconstruction of LV endocardium accurate andsmooth.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ruoming Lei AU - Yurun Ma AU - Kemin Wang AU - Yide Ma PY - 2016/12 DA - 2016/12 TI - A Novel Approach For 3D Surface Reconstruction Of LV Endocardium Based On SPCNN And MC BT - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.12 DO - https://doi.org/10.2991/iceeecs-16.2016.12 ID - Lei2016/12 ER -