4D vascular tree reconstruction using moving grid deformation.

Jiaxing Xue, Jean Gao, Gary Arbique, Spencer Brown, Michel Saint-Cyr

Research output: Contribution to journalArticle

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.

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Fingerprint Dive into the research topics of '4D vascular tree reconstruction using moving grid deformation.'. Together they form a unique fingerprint.

  • Cite this