Evidence map›Paper›PMID 37078036›Full record

ArticleBiomedical optics express2023

Compact breast shape acquisition system for improving diffuse optical tomography image reconstructions.

Morris Vanegas, Miguel Mireles, Edward Xu, Shijie Yan, Qianqian Fang

Open access · goldAbstract read
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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, 5 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 2 countries.

Morris VanegasDepartment of Bioengineering, Northeastern University, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-1386-3871
Miguel MirelesDepartment of Bioengineering, Northeastern University, Boston, MA 02115, USA.
Edward XuDepartment of Bioengineering, Northeastern University, Boston, MA 02115, USA.
Shijie YanDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-1983-4625
Qianqian FangDepartment of Bioengineering, Northeastern University, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0003-0805-935X
Northeastern University · US

Funding

Ultra-high-density, compressive and media- adaptive optical breast tomography platformR01CA204443 · NCI · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2016 to 2025
$2.5M
NCI NIH HHS R01 CA204443
6 · The paper itself

Abstract

Diffuse optical tomography (DOT) has been investigated for diagnosing malignant breast lesions, but its accuracy relies on model-based image reconstructions, which in turn depends on the accuracy of breast shape acquisition. In this work, we have developed a dual-camera structured light imaging (SLI) breast shape acquisition system tailored for a mammography-like compression setting. Illumination pattern intensity is dynamically adjusted to account for skin tone differences, while thickness-informed pattern masking reduces artifacts due to specular reflections. This compact system is affixed to a rigid mount that can be installed into existing mammography or parallel-plate DOT systems without the need for camera-projector re-calibration. Our SLI system produces sub-millimeter resolution with a mean surface error of 0.26 mm. This breast shape acquisition system results in more accurate surface recovery, with an average 1.6-fold reduction in surface estimation errors over a reference method via contour extrusion. Such improvement translates to 25% to 50% reduction in mean squared error in the recovered absorption coefficient for a series of simulated tumors 1-2 cm below the skin.

Identifiers

PMID37078036
PMCPMC10110328
OpenAlexW4323538318

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.