BROWSE

Related Scientist

CNIR's photo.

CNIR
뇌과학 이미징 연구단
more info

ITEM VIEW & DOWNLOAD

Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach

Cited 0 time in webofscience Cited 0 time in scopus
27 Viewed 0 Downloaded
Title
Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach
Author(s)
Menglin Wu; Wei Chen; Qiang Chen; Hyunjin Park
Publication Date
2021-09
Journal
IEEE Journal of Biomedical and Health Informatics, v.25, no.9, pp.3460 - 3472
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Spectral-domain optical coherence tomography (SD-OCT) images inevitably suffer from multiplicative speckle noise caused by random interference. This study proposes an unsupervised domain adaptation approach for noise reduction by translating the SD-OCT to the corresponding high-quality enhanced depth imaging (EDI)-OCT. We propose a structure-persevered cycle-consistent generative adversarial network for unpaired image-to-image translation, which can be applied to imbalanced unpaired data, and can effectively preserve retinal details based on a structure-specific cross-domain description. It also imposes smoothness by penalizing the intensity variation of the low reflective region between consecutive slices. Our approach was tested on a local data set that consisted of 268 SD-OCT volumes and two public independent validation datasets including 20 SD-OCT volumes and 17 B-scans, respectively. Experimental results show that our method can effectively suppress noise and maintain the retinal structure, compared with other traditional approaches and deep learning methods in terms of qualitative and quantitative assessments. Our proposed method shows good performance for speckle noise reduction and can assist downstream tasks of OCT analysis.
URI
https://pr.ibs.re.kr/handle/8788114/12090
DOI
10.1109/JBHI.2021.3071421
ISSN
2168-2194
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
There are no files associated with this item.

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse