Enhancing the visualization of human retina vascular networks by Graphics Processing Unit accelerated speckle variance OCT and graph cut retinal layer segmentation

Jing Xu; Kevin S. K. Wong; Vincent Wong; Morgan Heisler; Sieun Lee; Eunice Michelle C. Cua; Yifan Jian; Marinko V. Sarunic

doi:10.1117/12.2081492

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26 March 2015 Enhancing the visualization of human retina vascular networks by Graphics Processing Unit accelerated speckle variance OCT and graph cut retinal layer segmentation

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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Proceedings Volume 9312, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX; 93122H (2015) https://doi.org/10.1117/12.2081492
Event: SPIE BiOS, 2015, San Francisco, California, United States

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.

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Jing Xu, Kevin S. K. Wong, Vincent Wong, Morgan Heisler, Sieun Lee, Eunice Michelle C. Cua, Yifan Jian, and Marinko V. Sarunic "Enhancing the visualization of human retina vascular networks by Graphics Processing Unit accelerated speckle variance OCT and graph cut retinal layer segmentation", Proc. SPIE 9312, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, 93122H (26 March 2015); https://doi.org/10.1117/12.2081492

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