Two stage contour evolution for automatic segmentation of choroid and cornea in OCT images

• Autorzy: George Neetha , Jiji C.V.

Identyfikatory

DOI

10.1016/j.bbe.2019.05.012

• Języki publikacji: EN

Abstrakty

EN

Enhanced depth imaging optical coherence tomography (EDI OCT) enables visualization of deeper layers of retina, the segmentation of which can help in the diagnosis of many ophthalmic diseases. Though, a wide variety of segmentation algorithms are available for clinical practice in retinal analysis, segmentation of cornea and choroid are still done manually due to the lack of automated segmentation tools. This paper proposes a multilevel contour evolution approach for segmenting various layers of cornea and choroid. Rotating kernel transformation (RKT) is applied for enhancing the edges followed by two stage contour evolution for detecting edges. Choroid/cornea thickness obtained using our algorithm is compared with manual segmented images traced by ophthalmologists. The algorithm showed good consistency and high correlation with manual segmentation. The results, provided separately for choroid and cornea segmentation prove the efficiency of the proposed method.

Słowa kluczowe

EN

choroid segmentation; corneal segmentation; active contour model

PL

segmentacja naczyniówki oka; segmentacja rogówki oka; model aktywnego konturu

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2019
• Tom: Vol. 39, no. 3
• Strony: 686--696
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr.

Twórcy

autor

George Neetha

• Department of ECE, College of Engineering, Thiruvananthapuram, Kerala, India

autor

Jiji C.V.

• Department of ECE, College of Engineering, Thiruvananthapuram, Kerala, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).