@inproceedings{bb83ad90f9b447b6a70f76b202096a86,
title = "Enhancing the visualization of human retina vascular networks by Graphics Processing Unit accelerated speckle variance OCT and graph cut retinal layer segmentation",
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.",
keywords = "Flow contrast, GPU, Graph cut, Retinal angiography, Segmentation, Speckle variance optical coherence tomography",
author = "Jing Xu and Wong, {Kevin S.K.} and Vincent Wong and Morgan Heisler and Sieun Lee and Michelle Cua and Yifan Jian and Sarunic, {Marinko V.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX ; Conference date: 08-02-2015 Through 11-02-2015",
year = "2015",
doi = "10.1117/12.2081492",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Tuchin, {Valery V.} and Fujimoto, {James G.} and Izatt, {Joseph A.}",
booktitle = "Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX",
}