Evidence map›Paper›PMID 35271742›Full record

ArticleMedical physics2022

Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software.

Pawel J Markiewicz, Casper da Costa-Luis, J Dickson, A Barnes, G Krokos, J MacKewn, T Clark, C Wimberley, G MacNaught, M M Yaqub and 9 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 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
0.6field-weighted citation impact, top 36% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

19 authors at 8 institutions in 4 countries.

Pawel J MarkiewiczCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0002-3114-0773
Casper da Costa-LuisCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
J DicksonInstitute of Nuclear Medicine, University College London Hospitals, London, UK.
A BarnesInstitute of Nuclear Medicine, University College London Hospitals, London, UK.
G KrokosSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
J MacKewnSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
T ClarkEdinburgh Imaging, The University of Edinburgh, Edinburgh, UK.
C WimberleyEdinburgh Imaging, The University of Edinburgh, Edinburgh, UK.
G MacNaughtEdinburgh Imaging, The University of Edinburgh, Edinburgh, UK.
M M YaqubDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands.
J D GispertBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
B F HuttonInstitute of Nuclear Medicine, University College London, London, UK.
P MarsdenSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
A HammersSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
A J ReaderSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
S OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, UK.
K HerholzDivision of Neuroscience & Experimental Psychology, University of Manchester, UK.
J C MatthewsDivision of Neuroscience & Experimental Psychology, University of Manchester, UK.
F BarkhofCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
King's College London · GBUniversity of Edinburgh · GBRoyal London Hospital · GBUniversity of Manchester · GBAmsterdam University Medical Centers · NLJoint Research Centre · DEPasqual Maragall Foundation · ESUniversity College London · GB

Funding

Engineering and Physical Sciences Research Council EP/T026693/1Innovative Medicines Initiative 115952Medical Research Council MR/N013042/1Medical Research Council MR/N025792/1National Institute for Health Research - Biomedical Research Centre at UCLH
6 · The paper itself

Abstract

purposeA novel phantom-imaging platform, a set of software tools, for automated and high-precision imaging of the American College of Radiology (ACR) positron emission tomography (PET) phantom for PET/magnetic resonance (PET/MR) and PET/computed tomography (PET/CT) systems is proposed.

methodsThe key feature of this platform is the vector graphics design that facilitates the automated measurement of the knife-edge response function and hence image resolution, using composite volume of interest templates in a 0.5 mm resolution grid applied to all inserts of the phantom. Furthermore, the proposed platform enables the generation of an accurate

resultsThe utility of the platform has been demonstrated by providing a standard and an advanced phantom analysis including the estimation of spatial resolution using all cylindrical inserts. In the imaging planes close to the edge of the axial FOV, we observed deterioration in the quantitative accuracy, reduced resolution (FWHM increased by 1-2 mm), reduced contrast, and background uniformity due to the activity outside the FOV. Although it slows convergence, the PSF reconstruction had a positive impact on resolution and contrast recovery, but the degree of improvement depended on the regions. The uncertainty analysis based on bootstrap resampling of raw PET data indicated high precision of the two-stage registration.

conclusionsWe demonstrated that phantom imaging using the proposed methodology with the metric of spatial resolution and multiple bootstrap realizations may be helpful in more accurate evaluation of PET systems as well as in facilitating fine tuning for optimal imaging parameters in PET/MR and PET/CT clinical research studies.

Indexed as

Positron-Emission TomographyPositron Emission Tomography Computed TomographyAlgorithmsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingSoftwareanalysisMRPETphantomprecisionregistrationresolution

Identifiers

PMID35271742
PMCPMC9289925
OpenAlexW4221023877

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.