Evidence map›Paper›PMID 36698653›Full record

ArticleBiomedical optics express2023

GPU-accelerated image registration algorithm in ophthalmic optical coherence tomography.

Haiyi Bian, Jingtao Wang, Chengjian Hong, Lei Liu, Rendong Ji, Suqun Cao, Ahmed N Abdalla, Xinjian Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Haiyi BianFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.ORCID https://orcid.org/0000-0003-3060-9872
Jingtao WangSchool of Electronic and Information Engineering, Soochow University, 215006, Suzhou, China.
Chengjian HongSchool of Electronic and Information Engineering, Soochow University, 215006, Suzhou, China.
Lei LiuFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.
Rendong JiFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.
Suqun CaoFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.
Ahmed N AbdallaFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.
Xinjian ChenFaculty of Electronic Information Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China.
Huaiyin Institute of Technology · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited to the power of the light source in ophthalmic optical coherence tomography (OCT), the signal-to-noise ratio (SNR) of the reconstructed images is usually lower than OCT used in other fields. As a result, improvement of the SNR is required. The traditional method is averaging several images at the same lateral position. However, the image registration average costs too much time, which limits its real-time imaging application. In response to this problem, graphics processing unit (GPU)-side kernel functions are applied to accelerate the reconstruction of the OCT signals in this paper. The SNR of the images reconstructed from different numbers of A-scans and B-scans were compared. The results demonstrated that: 1) There is no need to realize the axial registration with every A-scan. The number of the A-scans used to realize axial registration is suitable to set as ∼25, when the A-line speed was set as ∼12.5kHz. 2) On the basis of ensuring the quality of the reconstructed images, the GPU can achieve 43× speedup compared with CPU.

Identifiers

PMID36698653
PMCPMC9841998
OpenAlexW4311957686

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.