Automatic three-dimensional segmentation combined with in vivo microvascular network imaging of human retina by intensity-based Doppler variance optical coherence tomography

Zhonglie Piao; Shenghai Huang; Li Qi; Jiang Zhu; Fan Lu; Zhongping Chen

doi:10.1117/12.2214840

8 March 2016 Automatic three-dimensional segmentation combined with in vivo microvascular network imaging of human retina by intensity-based Doppler variance optical coherence tomography

Zhonglie Piao, Shenghai Huang, Li Qi, Jiang Zhu, Fan Lu, Zhongping Chen

Author Affiliations +

Proceedings Volume 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX; 96973A (2016) https://doi.org/10.1117/12.2214840
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Optical coherence tomography (OCT) is a noninvasive method for retinal imaging. In this work, we present an in vivo human retinal microvascular network measurement by an intensity-based Doppler variance (IBDV) based on sweptsource OCT. In addition, an automatic three-dimensional (3-D) segmentation method was used for segmenting intraretinal layers. The microvascular networks were divided into six layers by visualizing of each individual layer with enhanced imaging contrast. This method has potential for earlier diagnosis and precise monitoring in retinal vascular diseases.

Citation Download Citation

Zhonglie Piao, Shenghai Huang, Li Qi, Jiang Zhu, Fan Lu, and Zhongping Chen "Automatic three-dimensional segmentation combined with in vivo microvascular network imaging of human retina by intensity-based Doppler variance optical coherence tomography", Proc. SPIE 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX, 96973A (8 March 2016); https://doi.org/10.1117/12.2214840

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