Denoising methods for improving automatic segmentation in OCT images of human eye

Bulletin of the Polish Academy of Sciences. Technical Sciences

E. MarciniakClinical Eye Unit and Pediatric Ophthalmology Service, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 16/18 Grunwaldzka St., 60-780 Poznan, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹  M. StopaClinical Eye Unit and Pediatric Ophthalmology Service, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 16/18 Grunwaldzka St., 60-780 Poznan, Poland PolandDepartment of Optometry and Biology of Visual System, Poznan University of Medical Sciences, 5D Rokietnicka St., 60-806 Poznan, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar²  P. RakowiczClinical Eye Unit and Pediatric Ophthalmology Service, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 16/18 Grunwaldzka St., 60-780 Poznan, Poland PolandDepartment of Optometry and Biology of Visual System, Poznan University of Medical Sciences, 5D Rokietnicka St., 60-806 Poznan, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar²  A. StankiewiczDivision of Signal Processing and Electronic Systems, Poznan University of Technology, 24 Jana Pawla II St., 60-965 Poznan, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar³  T. MarciniakCorresponding authorDivision of Signal Processing and Electronic Systems, Poznan University of Technology, 24 Jana Pawla II St., 60-965 Poznan, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar³  A. D?browskiDivision of Signal Processing and Electronic Systems, Poznan University of Technology, 24 Jana Pawla II St., 60-965 Poznan, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar³ 

[1] Clinical Eye Unit and Pediatric Ophthalmology Service, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 16/18 Grunwaldzka St., 60-780 Poznan, Poland;Clinical Eye Unit and Pediatric Ophthalmology Service, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 16/18 Grunwaldzka St., 60-780 Poznan, Poland Poland;Division of Signal Processing and Electronic Systems, Poznan University of Technology, 24 Jana Pawla II St., 60-965 Poznan, Poland

关键词: Keywords: optical coherence tomography (OCT);    image denoising;    image segmentation;    anisotropic diffusion;    wavelet thresholding;   

DOI  :  10.1515/bpasts-2017-0009

学科分类：工程和技术（综合）

来源: Polska Akademia Nauk * Centrum Upowszechniania Nauki / Polish Academy of Sciences, Center for the Advancement of Science

【 摘 要 】

This paper presents analysis of selected noise reduction methods used in optical coherence tomography (OCT) retina images (the socalled B-scans). The tested algorithms include median and averaging filtering, anisotropic diffusion, soft wavelet thresholding, and multiframe wavelet thresholding. Precision of the denoising process was evaluated based on the results of automated retina layers segmentation, since this stage (vital for ophthalmic diagnosis) is strongly dependent on the image quality. Experiments were conducted with a set of 3D low quality scans obtained from 10 healthy patients and 10 patients with vitreoretinal pathologies. Influence of each method on the automatic image segmentation for both groups of patients is thoroughly described. Manual annotations of investigated retina layers provided by ophthalmology experts served as reference data for evaluation of the segmentation algorithm.

【 授权许可】

Unknown