Evidence map›Paper›PMID 24430291›Full record

ArticleMolecular imaging and biology2014

Accurate PET/MR quantification using time of flight MLAA image reconstruction.

R Boellaard, M B M Hofman, O S Hoekstra, A A Lammertsma

Abstract read
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Article in Molecular imaging and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  6. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. New Data-Driven Gated PET/CT Free of Misregistration Artifacts.International journal of radiation oncology, biology, physics · 2021
    Article
  12. Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020
    Article
  13. Article
  14. Generation of PET Attenuation Map for Whole-Body Time-of-FlightJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Joint Reconstruction of Activity and Attenuation in Time-of-Flight PET: A Quantitative Analysis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
    Article
  19. Article
  20. Article
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.

R BoellaardDepartment of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands, r.boellaard@vumc.nl.
M B M Hofman
O S Hoekstra
A A Lammertsma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQuantification of positron emission tomography/magnetic resonance imaging (PET/MRI) studies is hampered by inaccurate MR-based attenuation correction (MR-AC). To date, most studies on MR-AC have been performed using PET/MR systems without time of flight (TOF). Maximum likelihood reconstruction of attenuation and activity (MLAA), however, has the potential to improve MR-AC by exploiting TOF. The purpose of this study is to assess the impact of MR-AC on PET image quantification for TOF-PET/MR systems and to evaluate PET accuracy when using TOF in combination with MLAA (TOF-MLAA). PROCEDURES: Simulations were designed to evaluate (1) the impact of MR-AC on PET quantification for different TOF windows (667, 500, 333 and 167 ps) and (2) use of TOF-MLAA for improving PET quantification. TOF-ordered subset expectation maximisation (OSEM) and TOF-MLAA reconstructions using MR-AC were compared with those obtained using TOF-OSEM with computed tomography-based AC (CT-AC).

resultsOSEM reconstructions without TOF showed a negative MR-AC-induced bias of -50 % in the bone. TOF-OSEM was able to reduce this bias down to -15 %, with more accurate results for better TOF. TOF-MLAA was able to reduce the bias to within 5 % but at the cost of a ∼40 % increase in image variance.

conclusionsTOF-MLAA can improve quantitative PET accuracy of PET/MR studies. Further improvements are anticipated with improving TOF performance.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingPositron-Emission TomographyComputer SimulationHumansLikelihood FunctionsPhantoms, ImagingTime Factors

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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.