Abstract
Perforator flaps have been widely used in plastic surgery for greater survivability and decreased morbidity. However, quantitative analysis of three dimensional (3D) blood flow direction and location has not been examined yet. In this paper, we reconstruct the 3D vascular tree with the incorporation of temporal information (4D) from contrast-agent propagation. A novel computational framework by adopting a moving grid deformation method is presented. To take advantage of temporal information of the bolus propagating, a sequential segmentation procedure is proposed. Moreover, the evolving of the vascular tree (4D vascular tree) is reconstructed through this procedure. Experimental results for anterolateral thigh perforator (ALTP) flap demonstrate the effectiveness of this method.
Original language | English (US) |
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Pages (from-to) | 2526-2529 |
Number of pages | 4 |
Journal | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference |
State | Published - 2006 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics