Evidence map›Paper›PMID 26105119›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2015

Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers.

Ninon Burgos, M Jorge Cardoso, Kris Thielemans, Marc Modat, John Dickson, Jonathan M Schott, David Atkinson, Simon R Arridge, Brian F Hutton, Sébastien Ourselin

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL-MRI: proof of concept.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning.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) · 2017
    Article
  18. Review
  19. Reconstruction of 7T-Like Images From 3T MRI.IEEE transactions on medical imaging · 2016
    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

10 authors at 3 institutions in 2 countries.

Ninon BurgosTranslational Imaging Group, Centre for Medical Image Computing, University College London, NW1 2HE, London, UK, n.burgos.12@ucl.ac.uk.
M Jorge Cardoso
Kris Thielemans
Marc Modat
John Dickson
Jonathan M Schott
David Atkinson
Simon R Arridge
Brian F Hutton
Sébastien Ourselin
University College London · GBUK Dementia Research Institute · GBUniversity of Wollongong · AU

Funding

Medical Research Council MR/J01107X/1
6 · The paper itself

Abstract

Positron Emission Tomography/Magnetic Resonance Imaging (PET/MR) scanners are expected to offer a new range of clinical applications. Attenuation correction is an essential requirement for quantification of PET data but MRI images do not directly provide a patient-specific attenuation map. Methods We further validate and extend a Computed Tomography (CT) and attenuation map (μ-map) synthesis method based on pre-acquired MRI-CT image pairs. The validation consists of comparing the CT images synthesised with the proposed method to the original CT images. PET images were acquired using two different tracers ((18)F-FDG and (18)F-florbetapir). They were then reconstructed and corrected for attenuation using the synthetic μ-maps and compared to the reference PET images corrected with the CT-based μ-maps. During the validation, we observed that the CT synthesis was inaccurate in areas such as the neck and the cerebellum, and propose a refinement to mitigate these problems, as well as an extension of the method to multi-contrast MRI data. Results With the improvements proposed, a significant enhancement in CT synthesis, which results in a reduced absolute error and a decrease in the bias when reconstructing PET images, was observed. For both tracers, on average, the absolute difference between the reference PET images and the PET images corrected with the proposed method was less than 2%, with a bias inferior to 1%. Conclusion With the proposed method, attenuation information can be accurately derived from MRI images by synthesising CT using routine anatomical sequences. MRI sequences, or combination of sequences, can be used to synthesise CT images, as long as they provide sufficient anatomical information.

Indexed as

Aniline CompoundsEthylene GlycolsFluorodeoxyglucose F18Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyBrainHumansImage Processing, Computer-AssistedRadioactive TracersSensitivity and SpecificityTomography, X-Ray ComputedAniline CompoundsEthylene GlycolsflorbetapirFluorodeoxyglucose F18Radioactive Tracers

Identifiers

PMID26105119
PMCPMC4502321
OpenAlexW1949599440

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.