Evidence map›Paper›PMID 38919730›Full record

ArticleIEEE access : practical innovations, open solutions2023

Superfast Scan of Focused X-Ray Luminescence Computed Tomography Imaging.

Yile Fang, Yibing Zhang, Michael C Lun, Changqing Li

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Yile FangDepartment of Bioengineering, University of California, Merced, Merced, CA 95343, USA.ORCID 0000-0003-0171-8818
Yibing ZhangDepartment of Bioengineering, University of California, Merced, Merced, CA 95343, USA.
Michael C LunDepartment of Bioengineering, University of California, Merced, Merced, CA 95343, USA.
Changqing LiDepartment of Electrical Engineering, University of California, Merced, Merced, CA 95343, USA.

Funding

Life time imaging with pulsed x-ray based x-ray luminescence computed tomographyR01EB026646 · NIBIB · UNIVERSITY OF CALIFORNIA, MERCED · PI LI, CHANGQING · 2018 to 2021
$2.6M
Development of a Bio-tissue Oxygenation Nanophosphor Enabled Sensing (BONES) system for Quantifying Hypoxia in Bone MarrowR42GM142394 · NIGMS · SIGRAY, INC. · PI YUN, WENBING · 2021 to 2023
$1.9M
NIBIB NIH HHS R01 EB026646NIGMS NIH HHS R42 GM142394
6 · The paper itself

Abstract

X-ray luminescence computed tomography (XLCT) is a hybrid molecular imaging modality having the high spatial resolution of x-ray imaging and high measurement sensitivity of optical imaging. Narrow x-ray beam based XLCT imaging has shown promise for high spatial resolution imaging of luminescent targets in deep tissues, but the slow acquisition speed limits its applications. In this work, we have introduced a superfast XLCT scan scheme based on the photon counter detector and a fly-scanning method. The new scan scheme is compared with three other scan methods. We have also designed and built a single-pixel x-ray detector to detect object boundaries automatically. With the detector, we can perform the parallel beam CT imaging with the XLCT imaging simultaneously. We have built the prototype XLCT imaging system to verify the proposed scan scheme. A phantom embedded with a set of four side-by-side cylindrical targets was scanned. With the proposed superfast scan scheme, we have achieved 43 seconds per transverse scan, which is 28.6 times faster than before with slightly better XLCT image quality. The superfast scan allows us to perform 3D pencil beam XLCT imaging in the future.

Indexed as

optical imagingoptical tomographyscanning schemesx-ray imagingX-ray luminescence computed tomography

Identifiers

PMID38919730
PMCPMC11198969

What OpenQuestion holds

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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.