Evidence map›Paper›PMID 41757285›Full record

ArticleArXiv2026

Increasing ultrasound field-of-view with reduced element count arrays containing large elements.

Mick Gardner, Rita J Miller, Michael L Oelze

Abstract readPreprint
In one paragraph

Article in ArXiv, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Mick GardnerElectrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Rita J MillerElectrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Michael L OelzeElectrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.

Funding

Developing a quantitative ultrasound breast scanner for identifying early response of breast cancer to chemotherapyR01CA273700 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Gregory Jan Czarnota, Michael L. Oelze · 2022 to 2026
$2.5M
Use of Radiological Clips for Improving Quantitative Ultrasound ImagingR01CA251939 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2020 to 2024
$2.0M
Development of super resolution ultrasound for detecting microcalcificationsR21EB024133 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2018 to 2019
$403k
NCI NIH HHS R01 CA251939NCI NIH HHS R01 CA273700NIBIB NIH HHS R21 EB024133
6 · The paper itself

Abstract

Several applications of medical ultrasound can benefit from a larger field of view (FOV). This study is aimed at increasing the FOV of linear array probes by increasing the element width. Coupled elements were used to imitate a larger element width. Through Fourier analysis, theoretical pressure amplitudes, and bandwidth estimates, coupled elements are shown to be close approximations of large elements. The effects of coupling on resolution, contrast, and speckle signal-to-noise ratio are investigated through phantom images and in-vivo images of a rabbit tumor reconstructed with plane-wave compounding. Furthermore, a positioning system was used to acquire data from a virtual large aperture with 120 mm FOV and 128 elements, collected in sections with a single probe. The Null Subtraction Imaging (NSI), Sign Coherence Factor (SCF), and Minimum Variance (MV) beamformers are compared for regaining resolution lost by an increased F-number. The NSI beamformer decreased Full-Width at Half-Max (FWHM) estimates of wire targets by 79% with coupling by 2 compared to uncoupled DAS. The MV beamformer was best for maintaining speckle statistics while improving resolution. Our results demonstrate how increased element width can increase FOV with no increase to element count.

Identifiers

PMID41757285
PMCPMC12935009

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Registered trials

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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.