Analysis of microangiography images using optical coherence tomography

Jiann Der Lee*, Chiang Ming Tien, Meng Tsan Tsai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present an Optical Coherence Tomography (OCT) processing system to in vivo imaging of vascular remodeling of the skin. The main processing steps consist of vascular segmentation and vascular reconstruction. Firstly, image preprocessing algorithms, i. e., image enhancememt with mean filter and de-shadowing by projection-based strategies, are proposed for vascular segmentation. Then, morphological operators are employed to build a basic outline of vessels maps. Finally, the three-dimensional (3D) image of outlines is reconstructed and vessel diameter and capillary density is extracted for early diagnosis of microvascular disease. The results also show that the microcirculation maps of the skin can be generated by the proposed scheme successfully.

Original languageEnglish
Title of host publication2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781509040452
DOIs
StatePublished - 19 12 2017
Event6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
Duration: 24 10 201727 10 2017

Publication series

Name2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
Volume2017-January

Conference

Conference6th IEEE Global Conference on Consumer Electronics, GCCE 2017
Country/TerritoryJapan
CityNagoya
Period24/10/1727/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Medical Image segmentation
  • optical coherence tomography

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