Evidence map›Paper›PMID 36442278›Full record

ArticleComputers in biology and medicine2022

3-D H-scan ultrasound imaging of relative scatterer size using a matrix array transducer and sparse random aperture compounding.

Haowei Tai, Lokesh Basavarajappa, Kenneth Hoyt

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 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
0.9field-weighted citation impact, top 27% 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, 8 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.

Haowei TaiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Lokesh BasavarajappaDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Kenneth HoytDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA. Electronic address: kenneth.hoyt@utdallas.edu.
The University of Texas at Dallas · US

Funding

Multifrequency ultrasound imaging for improved breast tissue characterizationR01CA269973 · NCI · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2022 to 2025
$2.8M
Multiparametric ultrasound imaging for early detection of nonalcoholic fatty liver diseaseR01DK126833 · NIDDK · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2021 to 2024
$1.6M
3D Super-Resolution Ultrasound Imaging for Cancer Detection and Treatment MonitoringR01EB025841 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2019 to 2022
$1.3M
NCI NIH HHS R01 CA269973NIBIB NIH HHS R01 EB025841NIDDK NIH HHS R01 DK126833
6 · The paper itself

Abstract

H-scan ultrasound (US) is a high-resolution imaging technique for soft tissue characterization. By acquiring data in volume space, H-scan US can provide insight into subtle tissue changes or heterogenous patterns that might be missed using traditional cross-sectional US imaging approaches. In this study, we introduce a 3-dimensional (3-D) H-scan US imaging technology for voxel-level tissue characterization in simulation and experimentation. Using a matrix array transducer, H-scan US imaging was developed to evaluate the relative size of US scattering aggregates in volume space. Experimental data was acquired using a programmable US system (Vantage 256, Verasonics Inc, Kirkland, WA) equipped with a 1024-element (32 × 32) matrix array transducer (Vermon Inc, Tours, France). Imaging was performed using the full array in transmission. Radiofrequency (RF) data sequences were collected using a sparse random aperture compounding technique with 6 different data compounding approaches. Plane wave imaging at five angles was performed at a center frequency of 8 MHz. Scan conversion and attenuation correction were applied. To generate the 3-D H-scan US images, a convolution filter bank (N = 256) was then used to process the RF data sequences and measure the spectral content of the backscattered US signals before volume reconstruction. Preliminary experimental studies were conducted using homogeneous phantom materials embedded with spherical US scatterers of varying diameter, i.e., 27 to 45, 63 to 75, or 106-126 μm. Both simulated and experimental results revealed that 3-D H-scan US images have a low spatial variance when tested with homogeneous phantom materials. Furthermore, H-scan US is considerably more sensitive than traditional B-mode US imaging for differentiating US scatterers of varying size (p = 0.001 and p = 0.93, respectively). Overall, this study demonstrates the feasibility of 3-D H-scan US imaging using a matrix array transducer for tissue characterization in volume space.

Indexed as

Imaging, Three-DimensionalTransducersCross-Sectional StudiesPhantoms, ImagingUltrasonographyAcoustic scatterer sizeH-scan ultrasoundMatrix array transducerSparse random aperture compoundingTissue characterization

Identifiers

PMID36442278
PMCPMC9749370
OpenAlexW4309633822

What OpenQuestion holds

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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.