Evidence map›Paper›PMID 28432674›Full record

ArticleEJNMMI research2017

Partial volume correction of brain PET studies using iterative deconvolution in combination with HYPR denoising.

Sandeep S V Golla, Mark Lubberink, Bart N M van Berckel, Adriaan A Lammertsma, Ronald Boellaard

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  7. Longitudinal Tau PET UsingJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
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  15. Voxel-based partial volume correction of PET images via subtle MRI guided non-local means regularization.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021
    Article
  16. Article
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  20. Associations between quantitative [Alzheimer's research & therapy · 2019
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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 2 countries.

Sandeep S V GollaDepartment of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands. s.golla@vumc.nl.
Mark LubberinkNuclear Medicine and PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Bart N M van BerckelDepartment of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands.
Adriaan A LammertsmaDepartment of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands.
Ronald BoellaardDepartment of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007MB, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLUniversity Medical Center Groningen · NLUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate quantification of PET studies depends on the spatial resolution of the PET data. The commonly limited PET resolution results in partial volume effects (PVE). Iterative deconvolution methods (IDM) have been proposed as a means to correct for PVE. IDM improves spatial resolution of PET studies without the need for structural information (e.g. MR scans). On the other hand, deconvolution also increases noise, which results in lower signal-to-noise ratios (SNR). The aim of this study was to implement IDM in combination with HighlY constrained back-PRojection (HYPR) denoising to mitigate poor SNR properties of conventional IDM.

methodsAn anthropomorphic Hoffman brain phantom was filled with an [

resultsIn the case of [

conclusionsIDM improved quantitative accuracy of measured activity concentrations. Moreover, the use of IDM in combination with HYPR (Hypr-IDM-Hypr) was able to correct for PVE without increasing noise.

Identifiers

PMID28432674
PMCPMC5400775
OpenAlexW2606615349

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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.