Skip to main navigation Skip to search Skip to main content

High-resolution morphological features of the muscle and cartilage in vivo using optical coherence tomography based on super luminescent diode

  • Jeonbuk National University
  • Johns Hopkins University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

We have demonstrated a polarization sensitive cartilage and muscle imaging based on common path optical coherence tomography (CP-OCT) using near infrared source. The axial and lateral resolutions of our PS-OCT system are 9μm and 6μm, respectively. The internal structural information has been extracted by the real-time signal analysis (Fourier Transform) from the modulated spectral intensity depending on the beam and tissue birefringence. Preliminary results using fresh beef and in vivo rat show that we can visualize the birefringence effect of the tissue collagen fibers in the samples for better image contrast and sensitivity for detection of hidden dermal structures. Compared to conventional CP-OCT, our proposed PS-OCT could provide depth-resolved images, which reflect tissue birefringence.

Original languageEnglish
Title of host publication2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide
Pages200-203
Number of pages4
DOIs
StatePublished - 2010
Event2010 2nd International Symposium on Aware Computing, ISAC 2010 - Sapporo, Japan
Duration: 2010.11.12010.11.4

Publication series

Name2010 2nd International Symposium on Aware Computing, ISAC 2010 - Symposium Guide

Conference

Conference2010 2nd International Symposium on Aware Computing, ISAC 2010
Country/TerritoryJapan
CitySapporo
Period10.11.110.11.4

Keywords

  • Birefringence
  • Component
  • Fourier domain-common path OCT
  • Imaging
  • Irifrared
  • Subcutaneous

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

Fingerprint

Dive into the research topics of 'High-resolution morphological features of the muscle and cartilage in vivo using optical coherence tomography based on super luminescent diode'. Together they form a unique fingerprint.

Cite this