Evidence map›Paper›PMID 36993341›Full record

ArticlebioRxiv : the preprint server for biology2023

Single-shot 3D photoacoustic tomography using a single-element detector for ultrafast imaging of hemodynamics.

Yide Zhang, Peng Hu, Lei Li, Rui Cao, Anjul Khadria, Konstantin Maslov, Xin Tong, Yushun Zeng, Laiming Jiang, Qifa Zhou and 1 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Yide ZhangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Peng HuCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Lei LiCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Rui CaoCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Anjul KhadriaCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Konstantin MaslovCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Xin TongCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Yushun ZengDepartment of Biomedical Engineering and Ophthalmology, University of Southern California, Los Angeles, CA 90089, USA.
Laiming JiangDepartment of Biomedical Engineering and Ophthalmology, University of Southern California, Los Angeles, CA 90089, USA.
Qifa ZhouDepartment of Biomedical Engineering and Ophthalmology, University of Southern California, Los Angeles, CA 90089, USA.
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
California Institute of Technology · USUniversity of Southern California · US

Funding

Massively parallel high-speed 3D functional photoacoustic computed tomography of the adult human brainU01EB029823 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, DANNY JJ, WANG, LIHONG · 2020 to 2024
$6.7M
High-speed panoramic 3D photoacoustic computed tomography of the breastR35CA220436 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, LIHONG · 2018 to 2024
$6.4M
Label-free intraoperative photoacoustic microscopy for rapid diagnosis of tissue biopsies with specimen integrityR01EB028277 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI D'APUZZO, MASSIMO, WANG, LIHONG · 2019 to 2022
$2.6M
NCI NIH HHS R35 CA220436NIBIB NIH HHS R01 EB028277NIBIB NIH HHS U01 EB029823
6 · The paper itself

Abstract

Imaging hemodynamics is crucial for the diagnosis, treatment, and prevention of vascular diseases. However, current imaging techniques are limited due to the use of ionizing radiation or contrast agents, short penetration depth, or complex and expensive data acquisition systems. Photoacoustic tomography shows promise as a solution to these issues. However, existing photoacoustic tomography methods collect signals either sequentially or through numerous detector elements, leading to either low imaging speed or high system complexity and cost. To address these issues, here we introduce a method to capture a 3D photoacoustic image of vasculature using a single laser pulse and a single-element detector that functions as 6,400 virtual ones. Our method enables ultrafast volumetric imaging of hemodynamics in the human body at up to 1 kHz and requires only a single calibration for different objects and for long-term operations. We demonstrate 3D imaging of hemodynamics at depth in humans and small animals, capturing the variability in blood flow speeds. This concept can inspire other imaging technologies and find applications such as home-care monitoring, biometrics, point-of-care testing, and wearable monitoring.

Identifiers

PMID36993341
PMCPMC10055152
OpenAlexW4324386551

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.