Evidence map›Paper›PMID 38645738›Full record

ArticleJournal of innovative optical health sciences2022

Ring artifacts removal in X-ray-induced acoustic computed tomography.

Prabodh Kumar Pandey, Hari Om Aggrawal, Siqi Wang, Kaitlyn Kim, An Liu, Liangzhong Xiang

Abstract read
In one paragraph

Article in Journal of innovative optical health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Model-Based 3-D X-Ray Induced Acoustic Computerized Tomography.IEEE transactions on radiation and plasma medical sciences · 2023
    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

6 authors.

Prabodh Kumar PandeyDepartment of Radiological Sciences, University of California, Irvine, CA 92697, USA.
Hari Om AggrawalInstitute of Mathematics and Image Computing, University of Lübeck, Germany.
Siqi WangDepartment of Biomedical Engineering, University of California, Irvine, CA 92617, USA.
Kaitlyn KimDepartment of Biomedical Engineering, University of California, Irvine, CA 92617, USA.
An LiuDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte CA 91010, USA.
Liangzhong XiangDepartment of Radiological Sciences, University of California, Irvine, CA 92697, 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) is a hybrid imaging modality for detecting X-ray absorption distribution via ultrasound emission. It facilitates imaging from a single projection X-ray illumination, thus reducing the radiation exposure and improving imaging speed. Nonuniform detector response caused by the interference between multichannel data acquisition for ring array transducers and amplifier systems yields ring artifacts in the reconstructed XACT images, which compromises the image quality. We propose model-based algorithms for ring artifacts corrected XACT imaging and demonstrate their efficacy on numerical and experimental measurements. The corrected reconstructions indicate significantly reduced ring artifacts as compared to their conventional counterparts.

Indexed as

artifacts correctionring artifactsX-ray-induced acoustic computed tomography (XACT)

Identifiers

PMID38645738
PMCPMC11031265

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.