Three dimensional analysis of the vascular perfusion for anterolateral thigh perforator flaps

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Quantitative analysis of three dimentional (3D) blood flow direction and location will benefit and guide the surgical thinning and dissection process. Toward this goal, this study was performed to reconstruct 3D vascular trees with the incorporation of temporal information from contrast-agent propagation. A computational technique based on our previous work to segment the 3D vascular tree structure from the CT scan volume image sets was proposed. This technique utilizes the deformation method which is a moving grid methodology and which in tradition is used to improve the computational accuracy and efficiency in solving differential equations. Compared with our previous work, we extended the moving grid deformation method to 3D and incorporated 3D region growing method for an initial segmentation. At last, a 3D divergence operator was applied to delineate vascular tree structures from the 3D grid volume plot. Experimental results show the 3D nature of the vascular structure and four-dimensional (4D) vascular tree evolving process. The proposed computational framework demonstrates its effectiveness and improvement in the modeling of 3D vascular tree.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationImage Processing
EditionPART 3
StatePublished - 2007
EventMedical Imaging 2007: Image Processing - San Diego, CA, United States
Duration: Feb 18 2007Feb 20 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 3
ISSN (Print)1605-7422


OtherMedical Imaging 2007: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Deformation method
  • Monitor function
  • Moving grid
  • Perforator flap
  • Vascular tree

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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