Evidence map›Paper›PMID 31477244›Full record

ArticleUltrasonics2020

Adaptive attenuation correction during H-scan ultrasound imaging using K-means clustering.

Haowei Tai, Mawia Khairalseed, Kenneth Hoyt

Abstract read
In one paragraph

Article in Ultrasonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. H-Scan Ultrasound Monitoring of Breast Cancer Response to Chemotherapy and Validation With Diffusion-Weighted Magnetic Resonance Imaging.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Fine-tuning the H-scan for discriminating changes in tissue scatterers.Biomedical physics & engineering express · 2020
    Article
  8. 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.

Haowei TaiDepartment of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA; Department of Biomedical Engineering, University of Texas at Dallas, Richardson, TX, USA.
Mawia KhairalseedDepartment of Biomedical Engineering, University of Texas at Dallas, Richardson, TX, USA; Department of Biomedical Engineering, Sudan University of Science and Technology and African City of Technology, Khartoum, Sudan.
Kenneth HoytDepartment of Biomedical Engineering, University of Texas at Dallas, Richardson, TX, USA; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: kenneth.hoyt@utdallas.edu.

Funding

3D Super-Resolution Ultrasound Imaging for Cancer Detection and Treatment MonitoringR01EB025841 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2019 to 2022
$1.3M
Molecular Ultrasound Imaging of Cancer Response to Antiangiogenic TherapyK25EB017222 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2014 to 2018
$804k
Noninvasive Pressure Estimation in Breast Cancer using UltrasoundR21CA212851 · NCI · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2017 to 2018
$366k
NCI NIH HHS R21 CA212851NIBIB NIH HHS K25 EB017222NIBIB NIH HHS R01 EB025841
6 · The paper itself

Abstract

H-scan ultrasound (US) imaging (where the 'H' stands for Hermite) is a novel non-invasive, low cost and real-time technology. Like traditional US, H-scan US suffers from frequency-dependent attenuation that must be corrected to have acceptable image quality for tissue characterization. The goal of this research was to develop a novel attenuation correction method based on adaptive K-means clustering. To properly isolate these signals, a lateral moving window approach applied to adaptively adjust GH filters based on the changing of RF vector spectrums. Then the signal isolated via the same filter will be combined together via overlap-add technology to keep the information loss minimum. Experimental data was collected using a Verasonics 256 US scanner equipped with a L11-4v linear array transducer. In vivo data indicates that H-scan US imaging after adaptive attenuation correction can optimally re-scale the GH kernels and match to the changing spectrum undergoing attenuation (i.e. high frequency shift). This approach produces H-scan US images with more uniform spatial intensity and outperforms global attenuation correction strategies. Overall, this approach will improve the ability of H-scan US imaging to estimate acoustic scatterer size and will improve its clinical use for tissue characterization when imaging complex tissues.

Indexed as

Adaptive K-means clusteringAttenuation correctionH-scan US imagingOverlap-addTissue characterizationUltrasound imaging

Identifiers

PMID31477244
PMCPMC7036031

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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.