Evidence map›Paper›PMID 29549552›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

High dynamic range ultrasound imaging.

Alperen Degirmenci, Douglas P Perrin, Robert D Howe

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. 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. Review
  3. Gaussian process regression for ultrasound scanline interpolation.Journal of medical imaging (Bellingham, Wash.) · 2022
    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

3 authors.

Alperen DegirmenciSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. adegirmenci@seas.harvard.edu.ORCID http://orcid.org/0000-0003-4175-993X
Douglas P PerrinSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Robert D HoweSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. howe@seas.harvard.edu.

Funding

Automated Procedure Guidance with Ultrasound Imaging CathetersR21EB018938 · NIBIB · HARVARD UNIVERSITY · PI HOWE, ROBERT D · 2014 to 2015
$488k
NIBIB NIH HHS 1R21EB018938NIBIB NIH HHS R21 EB018938
6 · The paper itself

Abstract

purposeHigh dynamic range (HDR) imaging is a popular computational photography technique that has found its way into every modern smartphone and camera. In HDR imaging, images acquired at different exposures are combined to increase the luminance range of the final image, thereby extending the limited dynamic range of the camera. Ultrasound imaging suffers from limited dynamic range as well; at higher power levels, the hyperechogenic tissue is overexposed, whereas at lower power levels, hypoechogenic tissue details are not visible. In this work, we apply HDR techniques to ultrasound imaging, where we combine ultrasound images acquired at different power levels to improve the level of detail visible in the final image.

methodsUltrasound images of ex vivo and in vivo tissue are acquired at different acoustic power levels and then combined to generate HDR ultrasound (HDR-US) images. The performance of five tone mapping operators is quantitatively evaluated using a similarity metric to determine the most suitable mapping for HDR-US imaging.

resultsThe ex vivo and in vivo results demonstrated that HDR-US imaging enables visualizing both hyper- and hypoechogenic tissue at once in a single image. The Durand tone mapping operator preserved the most amount of detail across the dynamic range.

conclusionsOur results strongly suggest that HDR-US imaging can improve the utility of ultrasound in image-based diagnosis and procedure guidance.

Indexed as

AnimalsChickensHumansImage EnhancementImage Processing, Computer-AssistedLegMalePhotographyThighUltrasonographyContrast enhancementHigh dynamic rangeImage enhancementTone mappingUltrasound imaging

Identifiers

PMID29549552

What OpenQuestion holds

Textmetadata
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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.