Evidence map›Paper›PMID 37495919›Full record

ArticleAdvances in experimental medicine and biology2023

Ultrasound Tomography.

Nicole V Ruiter, Michael Zapf, Torsten Hopp, Hartmut Gemmeke

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 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
–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

2 citing papers in PubMed.

  1. Article
  2. Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2025
    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

4 authors.

Nicole V RuiterInstitute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany. nicole.ruiter@kit.edu.
Michael ZapfInstitute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Torsten HoppInstitute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Hartmut GemmekeInstitute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound tomography (USCT) is a promising imaging modality, mainly aiming at early diagnosis of breast cancer. It provides three-dimensional, reproducible images of higher quality than conventional ultrasound methods and additionally offers quantitative information on tissue properties. This chapter provides an introduction to the background and history of USCT, followed by an overview of image reconstruction algorithms and system design. It concludes with a discussion of current and future applications as well as limitations and their potential solutions.

Indexed as

Breast NeoplasmsTomography, X-Ray ComputedAlgorithmsFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalPhantoms, ImagingTomographyUltrasonographyClinical applicationsReconstruction methodsState of the artSystem designUltrasound tomography

Identifiers

PMID37495919

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.