Evidence map›Paper›PMID 34593824›Full record

ArticleScientific data2021

Optical breast atlas as a testbed for image reconstruction in optical mammography.

Yidan Xing, Yubo Duan, Padmeya P Indurkar, Anqi Qiu, Nanguang Chen

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 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
0.7field-weighted citation impact, top 30% 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, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Yidan XingBiomedical Engineering, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-6544-7167
Yubo DuanHangzhou One-North Medical Technologies, Hangzhou, China.
Padmeya P IndurkarMechanical Engineering, National University of Singapore, Singapore, Singapore.
Anqi QiuBiomedical Engineering, National University of Singapore, Singapore, Singapore.
Nanguang ChenBiomedical Engineering, National University of Singapore, Singapore, Singapore. biecng@nus.edu.sg.ORCID 0000-0002-2375-1961
National University of Singapore · SG

Funding

Ministry of Education - Singapore (MOE) MOE2019-T2-2-094, R-397-000-327-114
6 · The paper itself

Abstract

We present two optical breast atlases for optical mammography, aiming to advance the image reconstruction research by providing a common platform to test advanced image reconstruction algorithms. Each atlas consists of five individual breast models. The first atlas provides breast vasculature surface models, which are derived from human breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using image segmentation. A finite element-based method is used to deform the breast vasculature models from their natural shapes to generate the second atlas, compressed breast models. Breast compression is typically done in X-ray mammography but also necessary for some optical mammography systems. Technical validation is presented to demonstrate how the atlases can be used to study the image reconstruction algorithms. Optical measurements are generated numerically with compressed breast models and a predefined configuration of light sources and photodetectors. The simulated data is fed into three standard image reconstruction algorithms to reconstruct optical images of the vasculature, which can then be compared with the ground truth to evaluate their performance.

Indexed as

Image Processing, Computer-AssistedAlgorithmsBreastFemaleHumansMagnetic Resonance ImagingMammography

Identifiers

PMID34593824
PMCPMC8484607
OpenAlexW3201693958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.