High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography

Jin U. Kang, Xuan Liu

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

Abstract

In this work, we use Spectroscopic Optical Coherence Tomography and Morlet wavelet transformation to deduce hemoglobin oxygen saturation in blood sample. The technique makes use of the different absorption properties of hemoglobin and oxyhemoglobin around 800 nm. In order to test the technique, we combined three superluminescent light emitting diodes together in a Fourier Domain Common Path OCT set-up. The result shows that this technique is promising in differentiating blood oxygenation status.

Original languageEnglish (US)
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2010 - Proceedings
Pages1431-1434
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: Apr 14 2010Apr 17 2010

Publication series

Name2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Other

Other7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/TerritoryNetherlands
CityRotterdam
Period4/14/104/17/10

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Keywords

  • Blood oxygen saturation
  • Morlet wavelet transform
  • Optical coherence tomography

Fingerprint

Dive into the research topics of 'High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography'. Together they form a unique fingerprint.

Cite this