Evidence map›Paper›PMID 39497687›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2021

Signal-to-Noise Ratio and Contrast-to-Noise Ratio Measurements for Next Generation Tomosynthesis.

David A Martin, Trevor L Vent, Chloe J Choi, Bruno Barufaldi, Raymond J Acciavatti, Andrew D A Maidment

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2021. 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. Article
  2. Spatial dependency of lesion detectability in digital breast tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  3. Pre-clinical evaluation and optimization of image quality for a Next Generation Tomosynthesis prototype.Proceedings of SPIE--the International Society for Optical Engineering
    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

6 authors.

David A MartinUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.
Trevor L VentUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.
Chloe J ChoiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.
Bruno BarufaldiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.
Raymond J AcciavattiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.
Andrew D A MaidmentUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.

Funding

High Performance, Quantitative Breast PET Scanner Integrated With TomosynthesisR01CA196528 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ANDREW DOUGLAS ARNOLD MAIDMENT, Suleman Surti · 2016 to 2026
$5.9M
NCI NIH HHS R01 CA196528
6 · The paper itself

Abstract

It is standard for the x-ray source in conventional digital breast tomosynthesis (DBT) acquisitions to move strictly along the chest wall of the patient. A prototype, next-generation tomosynthesis (NGT) system has been developed that is capable of acquiring customized geometries with source motion parallel and perpendicular to the chest wall. One well-known consequence of acquiring projections with the x-ray source anterior to the chest wall is that a small volume of tissue adjacent to the chest wall is missed. Here we evaluate strategies in DBT to avoid missing tissue while improving overall image quality. Acquisition geometries tested in this study include the conventional (control), "T-shape," and "bowtie" geometries. To evaluate the impact of moving the x-ray source away from the chest wall, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured as a function of location within the reconstructed volume. Using simulations and physical experiments, the SNR and CNR were compared with conventional DBT. Simulations of two different phantoms were performed: a "tube" phantom and a "lattice" phantom. Experiments with uniform and textured phantoms were also conducted. While the image quality was slightly reduced immediately adjacent to the chest wall, there was no missed tissue and both the T-shape and Bowtie geometries exhibited SNR and CNR improvement over the vast majority of the reconstruction volume; the overall result being an improvement in image quality with both the T-shape and bowtie geometries.

Identifiers

PMID39497687
PMCPMC11534479

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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.