Evidence map›Paper›PMID 34776515›Full record

ArticleApplied physics letters2021

X-ray-induced acoustic computed tomography (XACT) imaging with single-shot nanosecond x-ray.

Siqi Wang, Vassili Ivanov, Prabodh Kumar Pandey, Liangzhong Xiang

Abstract read
In one paragraph

Article in Applied physics letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. TowardsFundamental research · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Model-Based 3-D X-Ray Induced Acoustic Computerized Tomography.IEEE transactions on radiation and plasma medical sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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

4 authors.

Siqi WangThe Department of Biomedical Engineering, University of California, Irvine, California 92617, USA.ORCID https://orcid.org/0000-0001-6136-2492
Vassili IvanovPhotoSound Technologies Inc., Houston, Texas 77036, USA.ORCID https://orcid.org/0000-0001-5429-4225
Prabodh Kumar PandeyThe Department of Radiological Sciences, University of California, Irvine, California 92617, USA.

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Academic-Industry Partnership for the Translation of a 4D in vivo Dosimetry Approach for Radiation TherapyR37CA240806 · NCI · UNIVERSITY OF OKLAHOMA · PI CHEN, YONG, IVANOV, VASSILI · 2019 to 2025
$2.9M
NCI NIH HHS P30 CA062203NCI NIH HHS R37 CA240806
6 · The paper itself

Abstract

X-ray-induced acoustic computed tomography (XACT) has emerged as a promising imaging modality with broad applications in both biomedicine and nondestructive testing. The previous XACT imaging systems require thousands of averages to achieve reasonable images. Here, we report the experimental demonstration of single-shot XACT imaging of a metal object using a single-shot 50 ns x-ray pulse. A two-stage dedicated amplification and a 128-channel parallel data acquisition configuration were introduced for XACT imaging to enable sufficient acoustic signal amplification and maintain an overall low noise level for single-shot XACT imaging. Details of the system design are presented; the improved signal-to-noise ratio (>23 dB) and image reconstruction have been demonstrated with a ring ultrasound transducer array imaging system. The study paves the way for realizing real-time XACT imaging and its potential applications in image-guided intervention.

Identifiers

PMID34776515
PMCPMC8566011

What OpenQuestion holds

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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.