DocumentCode
3581495
Title
A new OCT-based method to generate virtual maps of vitreomacular interface pathologies
Author
Stankiewicz, Agnieszka ; Marciniak, Tomasz ; Dabrowski, Adam ; Stopa, Marcin ; Marciniak, Elzbieta
Author_Institution
Div. of Signal Process. & Electron. Syst., Poznan Univ. of Technol., Poznan, Poland
fYear
2014
Firstpage
83
Lastpage
88
Abstract
Optical coherence tomography (OCT) is the most accurate modality for noninvasive assessment of vitreoretinal interface (VRI). The scientific objective of research presented in this paper was to develop a new OCT-based method for investigation of vitreomacular interface pathologies in human eyes. We propose a new approach for the automatic generation of virtual maps representing the distance between the posterior surface of the hyaloid (PSH) and the inner limiting membrane (ILM) in the vitreomacular traction (VMT) pathology. Volumetric data was acquired from 3 adult patients with VMT. OCT B-scans were processed frame-by-frame and refined by advanced digital imaging algorithms, including application of the graph analysis approach, that allow for plausible segmentation of epiretinal pathologies and retinal surface. We are able to precisely segment and quantify VMTs in all subjects. The resulting virtual maps show a potential to evolve into a new useful tool for eye doctors that can support clinical decisions.
Keywords
biomedical optical imaging; data acquisition; diseases; eye; image segmentation; medical image processing; optical tomography; OCT-based method; automatic virtual map generation; digital imaging algorithms; graph analysis approach; human eyes; hyaloid posterior surface; inner limiting membrane; optical coherence tomography; retinal surface segmentation; vitreomacular interface pathologies; vitreomacular traction pathology; volumetric data acquisition; Hospitals; Image reconstruction; Image segmentation; Pathology; Standards; OCT; image processing; retinal layers segmentation; vitreoretinal interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2014
ISSN
2326-0262
Print_ISBN
978-8-3620-6518-9
Type
conf
Filename
7067275
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