Evidence map›Paper›PMID 33816192›Full record

ArticleQuantitative imaging in medicine and surgery2021

A denoising and enhancing method framework for 4D ultrasound images of human fetal heart.

Bin Liu, Zhao Xu, Qifeng Wang, Xiaolei Niu, Wei Xuan Chan, Wiputra Hadi, Choon Hwai Yap

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Optical ultrasound sensors for photoacoustic imaging: a narrative review.Quantitative imaging in medicine and surgery · 2022
    Review
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

7 authors at 3 institutions in 3 countries.

Bin LiuInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, China.
Zhao XuInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, China.
Qifeng WangInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, China.
Xiaolei NiuInternational School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, China.
Wei Xuan ChanDepartment of Biomedical Engineering, National University of Singapore, Singapore.
Wiputra HadiDepartment of Biomedical Engineering, National University of Singapore, Singapore.
Choon Hwai YapDepartment of Biomedical Engineering, National University of Singapore, Singapore.
Dalian University of Technology · CNNational University of Singapore · SGImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background4D ultrasound images of human fetal heart are important for medical applications such as evaluation of fetal heart function and early diagnosis of congenital heart diseases. However, due to the high noise and low contrast characteristics in fetal ultrasound images, denoising and enhancements are important.

methodsIn this paper, a special method framework for denoising and enhancing is proposed. It consists of a 4D-NLM (non-local means) denoising method for 4D fetal heart ultrasound image sequence, which takes advantage of context similar information in neighboring images to denoise the target image, and an enhancing method called the Adaptive Clipping for Each Histogram Pillar (ACEHP), which is designed to enhance myocardial spaces to distinguish them from blood spaces.

resultsDenoising and enhancing experiments show that 4D-NLM method has better denoising effect than several classical and state-of-the-art methods such as NLM and WNNM. Similarly, ACEHP method can keep noise level low while enhancing myocardial regions better than several classical and state-of-the-art methods such as CLAHE and SVDDWT. Furthermore, in the volume rendering after the combined "4D-NLM+ACEHP" processing, the cardiac lumen is clear and the boundary is neat. The Entropy value that can be achieved by our method framework (4D-NLM+ACEHP) is 4.84.

conclusionsOur new framework can thus provide important improvements to clinical fetal heart ultrasound images.

Indexed as

4D STIC human fetal heart ultrasoundhistogram clippingnon-local meanUltrasound image denoising and enhancing

Identifiers

PMID33816192
PMCPMC7930683
OpenAlexW3125124977

What OpenQuestion 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 OpenQuestion graph.