Detecting cerebral arteries and veins: From large to small

Peng Miao, Minheng Li, Nan Li, Abhishek Rege, Yisheng Zhu, Nitish Thakor, Shanbao Tong

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a model-based reconstruction technique is proposed to simultaneously measure the relative deoxyhemoglobin concentration and the relative blood flow velocity in cerebral cortex. With the help of this model-based reconstruction technique, artifacts due to nonuniform laser illumination and curvature of cortex are efficiently corrected. The results of relative deoxy-hemoglobin concentration and relative blood flow velocity are then used to detect and distinguish cerebral arteries and veins. In an experimental study on rat, cerebral blood vessels are segmented from the reconstructed blood flow image by Otsu multiple threshold method. Afterwards, arteries and veins are distinguished by a simple fuzzy criterion based on the information of relative deoxyhemoglobin concentration.

Original languageEnglish (US)
Pages (from-to)61-67
Number of pages7
JournalJournal of Innovative Optical Health Sciences
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2010

Keywords

  • Intraoperative detection
  • laser speckle contrast analysis (LASCA)
  • laser speckle imaging (LSI)
  • model based reconstruction
  • optical intrinsic signal (OIS)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Medicine (miscellaneous)
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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