Evidence map›Paper›PMID 25431756›Full record

ArticlePhotoacoustics2014

Optimal self-calibration of tomographic reconstruction parameters in whole-body small animal optoacoustic imaging.

Subhamoy Mandal, Elena Nasonova, Xosé Luís Deán-Ben, Daniel Razansky

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Short-wavelength optoacoustic spectroscopy based on water muting.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
  12. 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 at 2 institutions in 1 country.

Subhamoy MandalInstitute for Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany ; Faculty of Medicine and Faculty of Electrical Engineering and Information Technology, Technische Universität München, Munich, Germany.
Elena NasonovaiThera Medical GmbH, Munich, Germany.
Xosé Luís Deán-BenInstitute for Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Daniel RazanskyInstitute for Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany ; Faculty of Medicine and Faculty of Electrical Engineering and Information Technology, Technische Universität München, Munich, Germany.
Helmholtz Zentrum München · DEiThera Medical (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In tomographic optoacoustic imaging, multiple parameters related to both light and ultrasound propagation characteristics of the medium need to be adequately selected in order to accurately recover maps of local optical absorbance. Speed of sound in the imaged object and surrounding medium is a key parameter conventionally assumed to be uniform. Mismatch between the actual and predicted speed of sound values may lead to image distortions but can be mitigated by manual or automatic optimization based on metrics of image sharpness. Although some simple approaches based on metrics of image sharpness may readily mitigate distortions in the presence of highly contrasting and sharp image features, they may not provide an adequate performance for smooth signal variations as commonly present in realistic whole-body optoacoustic images from small animals. Thus, three new hybrid methods are suggested in this work, which are shown to outperform well-established autofocusing algorithms in mouse experiments in vivo.

Indexed as

Focus measuresImage processingImage reconstructionIn vivo imagingOptoacoustic imagingSpeed of sound

Identifiers

PMID25431756
PMCPMC4244639
OpenAlexW1982648370

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.