Evidence map›Paper›PMID 42131820›Full record

ArticleIEEE transactions on ultrasonics2026

UltraWave: An Open-source Multi-GPU Full-wave Simulator for Acoustic and Elastic Wave Scattering in 3-D Heterogeneous Media.

Zixuan Tian, Yun Jing, Aiguo Han

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, 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

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.

Zixuan Tian
Yun Jing
Aiguo Han

Funding

Tumor Detection and Classification using QUS Technology's Structure FunctionR01CA226528 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI O'BRIEN, WILLIAM D. · 2019 to 2024
$2.3M
Toward ultrasound brain imaging via machine-learning-extracted skull profile and speed of soundR21EB032638 · NIBIB · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HAN, AIGUO · 2022 to 2024
$608k
NCI NIH HHS R01 CA226528NIBIB NIH HHS R21 EB032638
6 · The paper itself

Abstract

Fast and accurate three-dimensional (3-D) full-wave ultrasound simulation is critical for applications such as medical imaging, tissue characterization, and synthetic data generation for machine learning. However, computational demands escalate prohibitively at higher resolutions. To address this challenge, we developed UltraWave, an open-source, multi-GPU-accelerated full-wave simulator for acoustic and elastic wave scattering in 3-D heterogeneous media. UltraWave incorporates advanced capabilities including media inhomogeneity, elastic wave propagation, power-law frequency-dependent absorption, and perfectly matched layers. To rigorously validate simulation accuracy, we also developed a companion code suite that computes the scattered waveforms in both time and frequency domains using analytical solutions from scattering theory for several standard scattering scenarios, enabling quantitative benchmarking of numerical simulators and addressing a critical gap in standardized validation tools. We evaluated UltraWave against the widely used k-Wave simulator, and demonstrated its accuracy, computational efficiency, and scalability. For a 3-D elastic scattering simulation, UltraWave achieved equivalent accuracy to k-Wave while reducing the runtime from 8 hours (k-Wave on a single GPU; multi-GPU capability is currently unavailable in k-Wave) to 20 minutes (UltraWave on 4 GPUs). UltraWave offers a powerful and scalable tool for high-resolution wave propagation and scattering simulations in biomedical applications.

Indexed as

acoustic scatteringfull-wave simulationGPU accelerationUltrasound simulator

Identifiers

PMID42131820
PMCPMC13166100

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.