Evidence map›Paper›PMID 38318463›Full record

ArticleOphthalmic medical image analysis : 10th International Workshop, OMIA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. OMIA (Workshop) (10th : 2023 : Vancouver, B.C. ; Online)2023

Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation.

Shuwen Wei, Yihao Liu, Zhangxing Bian, Yuli Wang, Lianrui Zuo, Peter A Calabresi, Shiv Saidha, Jerry L Prince, Aaron Carass

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ophthalmic medical image analysis : 10th International Workshop, OMIA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. OMIA (Workshop) (10th : 2023 : Vancouver, B.C. ; Online), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Optical Coherence Tomography Harmonization via Dual Diffusion Implicit Bridges.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  2. Unsupervised OCT Image Interpolation Using Deformable Registration and generative models.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shuwen WeiDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-8679-9615
Yihao LiuDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0003-3187-9903
Zhangxing BianDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0003-3603-0650
Yuli WangDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Lianrui ZuoDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-5923-9097
Peter A CalabresiDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0002-7776-6472
Shiv SaidhaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-6553-0876
Aaron CarassDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0003-4939-5085

Funding

OCT and OCTA image processing for retinal assessment of people with MSR01EY032284 · NEI · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2021 to 2024
$1.8M
3D segmentation and registration of macular SD-OCT for application in MSR01EY024655 · NEI · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2014 to 2017
$1.6M
NEI NIH HHS R01 EY024655NEI NIH HHS R01 EY032284
6 · The paper itself

Abstract

Optical coherence tomography (OCT) is a valuable imaging technique in ophthalmology, providing high-resolution, cross-sectional images of the retina for early detection and monitoring of various retinal and neurological diseases. However, discrepancies in retinal layer thickness measurements among different OCT devices pose challenges for data comparison and interpretation, particularly in longitudinal analyses. This work introduces the idea of a recurrent self fusion (RSF) algorithm to address this issue. Our RSF algorithm, built upon the self fusion methodology, iteratively denoises retinal OCT images. A deep learning-based retinal OCT segmentation algorithm is employed for downstream analyses. A large dataset of paired OCT scans acquired on both a Spectralis and Cirrus OCT device are used for validation. The results demonstrate that the RSF algorithm effectively reduces speckle contrast and enhances the consistency of retinal OCT segmentation.

Indexed as

DenoiseOptical coherence tomographySegmentation

Identifiers

PMID38318463
PMCPMC10840975

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.