Evidence map›Paper›PMID 38205381›Full record

ArticleMeasurement science & technology2024

Improving sub-pixel accuracy in ultrasound localization microscopy using supervised and self-supervised deep learning.

Zeng Zhang, Misun Hwang, Todd J Kilbaugh, Joseph Katz

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Measurement science & technology, 2024. 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
11.0field-weighted citation impact, top 1% 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, 48 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

4 authors at 2 institutions in 1 country.

Zeng ZhangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
Misun HwangDepartments of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Todd J KilbaughDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Joseph KatzDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.ORCID https://orcid.org/0000-0001-9067-2473
Children's Hospital of Philadelphia · USJohns Hopkins University · US

Funding

Novel Ultrasound Indices of Intracranial Pressure and Brain Ischemia in Neonatal HydrocephalusR01NS119473 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Misun Hwang · 2020 to 2026
$4.0M
NINDS NIH HHS R01 NS119473
6 · The paper itself

Abstract

With a spatial resolution of tens of microns, ultrasound localization microscopy (ULM) reconstructs microvascular structures and measures intravascular flows by tracking microbubbles (1-5 μm) in contrast enhanced ultrasound (CEUS) images. Since the size of CEUS bubble traces, e.g. 0.5-1 mm for ultrasound with a wavelength

Indexed as

deep learningself-supervised learningsuper-resolution ultrasound imagingultrasound localization microscopy

Identifiers

PMID38205381
PMCPMC10774911
OpenAlexW4389855095

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.