Evidence map›Paper›PMID 37311926›Full record

ArticleEJNMMI physics2023

Monte Carlo simulation of the system performance of a long axial field-of-view PET based on monolithic LYSO detectors.

Maya Abi-Akl, Meysam Dadgar, Yassine Toufique, Othmane Bouhali, Stefaan Vandenberghe

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2023. 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
1.4field-weighted citation impact, top 19% of its field
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, 6 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Maya Abi-AklDepartment of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, Ghent, Belgium. maya.abiakl@ugent.be.ORCID http://orcid.org/0000-0002-0322-8225
Meysam DadgarDepartment of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, Ghent, Belgium.
Yassine ToufiqueEnergy, Materials, Numerical Physics, Ecole Normal Supérieur (ENS), Abdelmalek Essaadi University, Tétouan, Morocco.
Othmane BouhaliDivision of Arts and Sciences, Texas A&M University at Qatar, Doha, Qatar.
Stefaan VandenbergheDepartment of Electronics and Information Systems, Medical Image and Signal Processing, Ghent University, Ghent, Belgium.
Ghent University · BEAbdelmalek Essaâdi University · MATexas A&M University at Qatar · QA

Funding

FWO Large-scale research infrastructure Sphynx project
6 · The paper itself

Abstract

backgroundIn light of the milestones achieved in PET design so far, further sensitivity improvements aim to optimise factors such as the dose, throughput, and detection of small lesions. While several longer axial field-of-view (aFOV) PET systems based on pixelated detectors have been installed, continuous monolithic scintillation detectors recently gained increased attention due to their depth of interaction capability and superior intrinsic resolution. As a result, the aim of this work is to present and evaluate the performance of two long aFOV, monolithic LYSO-based PET scanner designs.

methodsGeant4 Application for Tomographic Emission (GATE) v9.1 was used to perform the simulations. Scanner designs A and B have an aFOV of 36.2 cm (7 rings) and 72.6 cm (14 rings), respectively, with 40 detector modules per ring each and a bore diameter of 70 cm. Each module is a 50 × 50 × 16 mm

resultsThe sensitivity of design A was calculated to be 29.2 kcps/MBq at the centre and 27 kcps/MBq at 10 cm radial offset; similarly, the sensitivity of design B was found to be 106.8 kcps/MBq and 98.3 kcps/MBq at 10 cm radial offset. NECR peaks were reached at activity concentrations beyond the range of activities used for clinical studies. In terms of spatial resolution, the values for the point sources were below 2 mm for the radial, tangential, and axial full width half maximum. The contrast recovery coefficient ranged from 53% for design B and 4:1 contrast ratio to 90% for design A and 8:1 ratio, with a reasonably low background variability.

conclusionsLonger aFOV PET designs using monolithic LYSO have superior spatial resolution compared to current pixelated total-body PET (TB-PET) scanners. These systems combine high sensitivity with improved contrast recovery.

Indexed as

Monolithic detectorNEMA performanceSpatial resolutionTotal-body positron emission tomography

Identifiers

PMID37311926
PMCPMC10264335
OpenAlexW4380449842

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LicenceCC BY
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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.