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Proceedings Paper

Enhancing the visualization of human retina vascular networks by Graphics Processing Unit accelerated speckle variance OCT and graph cut retinal layer segmentation
Author(s): Jing Xu; Kevin S. K. Wong; Vincent Wong; Morgan Heisler; Sieun Lee; Eunice Michelle C. Cua; Yifan Jian; Marinko V. Sarunic
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Paper Abstract

We present a Graph Cut based image segmentation that was implemented on a Graphics Processing Unit for acceleration of processing retinal images acquired with OCT. We applied this work to generate a retinal thickness map, and for retinal layer segmentation to enhance the visualization of vasculature networks from distinct retinal capillary beds during acquisition using speckle variance OCT.

Paper Details

Date Published: 26 March 2015
PDF: 5 pages
Proc. SPIE 9312, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, 93122H (26 March 2015); doi: 10.1117/12.2081492
Show Author Affiliations
Jing Xu, Simon Fraser Univ. (Canada)
Kevin S. K. Wong, Simon Fraser Univ. (Canada)
Vincent Wong, Simon Fraser Univ. (Canada)
Morgan Heisler, Simon Fraser Univ. (Canada)
Sieun Lee, Simon Fraser Univ. (Canada)
Eunice Michelle C. Cua, Simon Fraser Univ. (Canada)
Yifan Jian, Simon Fraser Univ. (Canada)
Marinko V. Sarunic, Simon Fraser Univ. (Canada)

Published in SPIE Proceedings Vol. 9312:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX
James G. Fujimoto; Joseph A. Izatt; Valery V. Tuchin, Editor(s)

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