Delineating 3D Angiogenic Sprouting in OCT Images via Multiple Active Contours

  • Ting Xu
  • Fengqiang Li
  • Duc-Huy T. Nguyen
  • Christopher S. Chen
  • Chao Zhou
  • Xiaolei Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8090)

Abstract

Recent advances in Optical Coherence Tomography (OCT) has enabled high resolution imaging of three dimensional artificial vascular networks in vitro. Image segmentation can help quantify the morphological and topological properties of these curvilinear networks to facilitate quantitative study of the angiogenic process. Here we present a novel method to delineate the 3D artificial vascular networks imaged by spectral-domain OCT. Our method employs multiple Stretching Open Active Contours (SOACs) that evolve synergistically to retrieve both the morphology and topology of the underlying vascular networks. Quantification of the network properties can then be conducted based on the segmentation result. We demonstrate the potential of the proposed method by segmenting 3D artificial vasculature in simulated and real OCT images. We provide junction locations and vessel lengths as examples for quantifying angiogenic sprouting of 3D artificial vasculature from OCT images.

Keywords

Angiogenesis Curvilinear Network Active Contours Optical Coherence Tomography 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ting Xu
    • 1
  • Fengqiang Li
    • 2
  • Duc-Huy T. Nguyen
    • 3
  • Christopher S. Chen
    • 3
    • 4
  • Chao Zhou
    • 2
  • Xiaolei Huang
    • 1
  1. 1.Department of Computer Science and EngineeringLehigh UniversityBethlehemUSA
  2. 2.Department of Electrical and Computer EngineeringLehigh UniversityBethlehemUSA
  3. 3.Department of Chemical and Biomolecular EngineeringUniversity of PennsylvaniaPhiladelphiaUSA
  4. 4.Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaUSA

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