Evidence map›Paper›PMID 36685991›Full record

ArticlePhotoacoustics2023

High-fidelity deep functional photoacoustic tomography enhanced by virtual point sources.

Yuqi Tang, Shanshan Tang, Chengwu Huang, Paul Klippel, Chenshuo Ma, Nathan Caso, Shigao Chen, Yun Jing, Junjie Yao

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  6. Review
  7. A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  13. Review
  14. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article
  15. Journal of biomedical optics · 2023
    Article
  16. Article
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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

9 authors at 3 institutions in 1 country.

Yuqi TangPhotoacoustic Imaging Lab, Department of Biomedical Engineering, Duke University, Durham, NC, the United States of America.
Shanshan TangUltrasound Imaging Lab, Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, the United States of America.
Chengwu HuangUltrasound Imaging Lab, Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, the United States of America.
Paul KlippelGraduate Program in Acoustic and Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, the United States of America.
Chenshuo MaPhotoacoustic Imaging Lab, Department of Biomedical Engineering, Duke University, Durham, NC, the United States of America.
Nathan CasoGraduate Program in Acoustic and Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, the United States of America.
Shigao ChenUltrasound Imaging Lab, Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, the United States of America.
Yun JingGraduate Program in Acoustic and Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, the United States of America.
Junjie YaoPhotoacoustic Imaging Lab, Department of Biomedical Engineering, Duke University, Durham, NC, the United States of America.
Duke University · USMayo Clinic in Florida · USPennsylvania State University · US

Funding

High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics ScreeningR01HL166522 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Junjie Yao, Y. Shrike Zhang · 2023 to 2026
$2.7M
Whole-organ bioreactor with integrated nondestructive 3D molecular imagingR44HL138185 · NHLBI · SONOVOL, INC. · PI CZERNUSZEWICZ, TOMASZ JOSEPH, GESSNER, RYAN · 2017 to 2020
$2.2M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Transcranial Photoacoustic Imaging Using a Virtual ArrayR21EB027981 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI JING, YUN · 2020 to 2020
$455k
Photoacoustic-imaging-guided intravascular sonothrombolysisR21EB027304 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI JIANG, XIAONING, YAO, JUNJIE · 2019 to 2020
$411k
A turnkey research platform to accelerate clinical translation of focused-ultrasound (FUS) oncology therapiesR43CA239830 · NCI · SONOVOL, INC. · PI GESSNER, RYAN · 2019 to 2019
$300k
Development of a Longitudinal Molecular Imaging Platform to Support Immuno-Oncology ResearchR43CA243822 · NCI · SONOVOL, INC. · PI GESSNER, RYAN · 2019 to 2019
$244k
NCI NIH HHS R43 CA239830NCI NIH HHS R43 CA243822NHLBI NIH HHS R01 HL166522NHLBI NIH HHS R44 HL138185NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R21 EB027304NIBIB NIH HHS R21 EB027981NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Photoacoustic tomography (PAT), a hybrid imaging modality that acoustically detects the optical absorption contrast, is a promising technology for imaging hemodynamic functions in deep tissues far beyond the traditional optical microscopy. However, the most clinically compatible PAT often suffers from the poor image fidelity, mostly due to the limited detection view of the linear ultrasound transducer array. PAT can be improved by employing highly-absorbing contrast agents such as droplets and nanoparticles, which, however, have low clinical translation potential due to safety concerns and regulatory hurdles imposed by these agents. In this work, we have developed a new methodology that can fundamentally improve PAT's image fidelity without hampering any of its functional capability or clinical translation potential. By using clinically-approved microbubbles as virtual point sources that strongly and isotropically scatter the local pressure waves generated by surrounding hemoglobin, we can overcome the limited-detection-view problem and achieve high-fidelity functional PAT in deep tissues, a technology referred to as virtual-point-source PAT (VPS-PAT). We have thoroughly investigated the working principle of VPS-PAT by numerical simulations and

Indexed as

Deep imagingFunctional imagingHemodynamic imagingMicrobubblesPhotoacoustic tomographySingle value decompositionVirtual point source

Identifiers

PMID36685991
PMCPMC9852650
OpenAlexW4313556339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.