Evidence map›Paper›PMID 40822244›Full record

ArticlePhotoacoustics2025

Optimizing image fidelity in a spherical array geometry for pulse-echo ultrasound and volumetric optoacoustic imaging.

Cheng-Feng Tommy Chiang, Isaac Esteban, Xose-Luis Dean-Ben, Jeh-Hsing Hsu, Daniel Razansky, Hsiao-Chun Amy Lin

Abstract readLetter
In one paragraph

Article in Photoacoustics, 2025. 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

6 authors.

Cheng-Feng Tommy ChiangDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 300044, Taiwan.
Isaac EstebanInstitute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich 8092, Switzerland.
Xose-Luis Dean-BenInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich 8006, Switzerland.
Jeh-Hsing HsuDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 300044, Taiwan.
Daniel RazanskyInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Zurich 8006, Switzerland.
Hsiao-Chun Amy LinDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 300044, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spherical arrays are commonly used in volumetric optoacoustic tomography for optimal data acquisition. Yet, such a configuration poses challenges for integration with pulse-echo ultrasound used for image guidance, which relies on different signal acquisition and image formation strategies. A potential solution entails the incorporation of linear array segments into the spherical array to enable hybrid 3D optoacoustic and 2D ultrasound (OPUS) modes. This study aims to optimize ultrasound performance in a hybrid multi-segment spherical array for clinically interpretable images. Focusing on the independent and combined effects of image compounding, the number of consecutive emitting elements, and Richardson-Lucy deconvolution, quantitative analyses of phantom images showed marked improvements in image contrast and resolution. Clinical imaging of a healthy volunteer demonstrated that landmark structures could be effectively enhanced. This work establishes a practical framework for improving ultrasound imaging in OPUS, representing a significant step toward the clinical translation of optoacoustic imaging.

Indexed as

DeconvolutionImage qualityOptoacoustic imagingOPUSUltrasound imaging

Identifiers

PMID40822244
PMCPMC12356400

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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.