Evidence map›Paper›PMID 32869750›Full record

ArticlePhysics in medicine and biology2020

Monte Carlo study of x-ray detection configurations for benchtop x-ray fluorescence computed tomography of gold nanoparticle-loaded objects.

Hem Moktan, Md Foiez Ahmed, Sandun Jayarathna, Luzhen Deng, Sang Hyun Cho

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Hem MoktanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Md Foiez AhmedDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Sandun JayarathnaDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Luzhen DengDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Sang Hyun ChoDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.

Funding

Towards in vivo imaging with benchtop x-ray fluorescence computed tomographyR01EB020658 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHO, SANG HYUN · 2016 to 2019
$3.0M
NIBIB NIH HHS R01 EB020658
6 · The paper itself

Abstract

Over the last decade, the performance of benchtop x-ray fluorescence computed tomography (XFCT) systems has been significantly enhanced through hardware and software optimizations. Recent studies have indicated the need of energy-resolving pixelated/array detectors in the x-ray detection component to further improve the sensitivity and image resolution of benchtop XFCT systems while meeting the realistic constraints of dose and scan time. Thus, it is of immediate interest in the research community to conduct the following investigations: (a) delineation of strengths/weaknesses of detection configurations that incorporate pixelated/array detectors in combination with two most frequently used (parallel-hole and pinhole) collimators; (b) one-to-one comparison of their performance under identical imaging conditions of benchtop XFCT. In this study, we developed a Geant4-based Monte Carlo model to investigate the effects of the aforementioned detection configurations on the sensitivity and image resolution of a benchtop XFCT system. Using this model, we simulated the detection of x-ray fluorescence and scattered photons from gold nanoparticle-containing phantoms using energy-resolving pixelated detectors coupled with parallel-hole and pinhole collimators. Simulation results demonstrated that the detector consisting of large pixels (1 mm × 1 mm) combined with a parallel-hole collimator had better sensitivity (i.e. lower detection limit) than the detector made of smaller pixels (0.25 mm × 0.25 mm) coupled with a pinhole collimator. In comparison, although slightly less sensitive, the latter detector configuration achieved better image resolution than did the former. Thus, a detection configuration consisting of a pixelated detector with submillimeter pixels and a pinhole collimator is preferable when image resolution is critical for benchtop XFCT applications. On the other hand, the detector with larger pixels coupled with a parallel-hole collimator is better suited for benchtop XFCT applications in which higher sensitivity and shorter scan time are essential.

Indexed as

FluorescenceMetal NanoparticlesMonte Carlo MethodGoldImage Processing, Computer-AssistedPhantoms, ImagingPhotonsTomography, X-Ray ComputedGold

Identifiers

PMID32869750
PMCPMC7489464

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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.