Evidence map›Paper›PMID 35519249›Full record

ArticleBiomedical optics express2022

Local Burr distribution estimator for speckle statistics.

Gary R Ge, Jannick P Rolland, Kevin J Parker

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. 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
0.7field-weighted citation impact, top 33% 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, 5 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

3 authors at 1 institution in 1 country.

Gary R GeThe Institute of Optics, University of Rochester, 480 Intercampus Drive, Rochester, New York 14627, USA.ORCID https://orcid.org/0000-0001-9765-8076
Jannick P RollandThe Institute of Optics, University of Rochester, 480 Intercampus Drive, Rochester, New York 14627, USA.ORCID https://orcid.org/0000-0003-2747-4022
Kevin J ParkerDepartment of Biomedical Engineering, University of Rochester, 201 Robert B. Goergen Hall, Rochester, New York 14627, USA.
University of Rochester · US

Funding

Advanced Brain OCT ElastographyR21AG070331 · NIA · UNIVERSITY OF ROCHESTER · PI PARKER, KEVIN J · 2020 to 2020
$422k
The H-scan approach to classifying ultrasound echoesR21EB025290 · NIBIB · UNIVERSITY OF ROCHESTER · PI PARKER, KEVIN J · 2018 to 2019
$420k
Investigation of Brain Elasticity in Aging and Alzheimer's Disease Enabled by Optical Coherence ElastographyF30AG069293 · NIA · UNIVERSITY OF ROCHESTER · PI GE, GARY RUIAN · 2020 to 2023
$206k
NIA NIH HHS F30 AG069293NIA NIH HHS R21 AG070331NIBIB NIH HHS R21 EB025290
6 · The paper itself

Abstract

Speckle statistics in ultrasound and optical coherence tomography have been studied using various distributions, including the Rayleigh, the K, and the more recently proposed Burr distribution. In this paper, we expand on the utility of the Burr distribution by first validating its theoretical framework with numerical simulations and then introducing a new local estimator to characterize sample tissues of liver, brain, and skin using optical coherence tomography. The spatially local estimates of the Burr distribution's power-law or exponent parameter enable a new type of parametric image. The simulation and experimental results confirm the potential for various applications of the Burr distribution in both basic science and clinical realms.

Identifiers

PMID35519249
PMCPMC9045934
OpenAlexW4220764309

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.