Automated three-dimensional choroidal vessel segmentation of 3D 1060 nm OCT retinal data

A fully automated, robust vessel segmentation algorithm has been developed for choroidal OCT, employing multiscale 3D edge filtering and projection of “probability cones” to determine the vessel “core”, even in the tomograms with low signal-to-noise ratio (SNR). Based on the ideal vessel response af...

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Detalles Bibliográficos
Autores principales: Kajić, Vedran, Esmaeelpour, Marieh, Glittenberg, Carl, Kraus, Martin F., Honegger, Joachim, Othara, Richu, Binder, Susanne, Fujimoto, James G., Drexler, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2012
Materias:
Image Processing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539191/
https://www.ncbi.nlm.nih.gov/pubmed/23304653
http://dx.doi.org/10.1364/BOE.4.000134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539191/
https://www.ncbi.nlm.nih.gov/pubmed/23304653
http://dx.doi.org/10.1364/BOE.4.000134

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