Evidence map›Paper›PMID 26158104›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2015

Automatic correction of dental artifacts in PET/MRI.

Claes N Ladefoged, Flemming L Andersen, Sune H Keller, Thomas Beyer, Ian Law, Liselotte Højgaard, Sune Darkner, Francois Lauze

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2015. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Assessment of attenuation correction for myocardial PET imaging using combined PET/MRI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    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

8 authors.

Claes N LadefogedUniversity of Copenhagen , Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Flemming L AndersenUniversity of Copenhagen , Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Sune H KellerUniversity of Copenhagen , Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Thomas BeyerCenter for Medical Physics and Biomedical Engineering , General Hospital Vienna, 4L, Waehringer Guertel 18-20, Vienna 1090, Austria.
Ian LawUniversity of Copenhagen , Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Liselotte HøjgaardUniversity of Copenhagen , Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Sune DarknerUniversity of Copenhagen , Department of Computer Science, Universitetsparken 5, Copenhagen 2100, Denmark.
Francois LauzeUniversity of Copenhagen , Department of Computer Science, Universitetsparken 5, Copenhagen 2100, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A challenge when using current magnetic resonance (MR)-based attenuation correction in positron emission tomography/MR imaging (PET/MRI) is that the MRIs can have a signal void around the dental fillings that is segmented as artificial air-regions in the attenuation map. For artifacts connected to the background, we propose an extension to an existing active contour algorithm to delineate the outer contour using the nonattenuation corrected PET image and the original attenuation map. We propose a combination of two different methods for differentiating the artifacts within the body from the anatomical air-regions by first using a template of artifact regions, and second, representing the artifact regions with a combination of active shape models and k-nearest-neighbors. The accuracy of the combined method has been evaluated using 25 [Formula: see text]-fluorodeoxyglucose PET/MR patients. Results showed that the approach was able to correct an average of [Formula: see text] of the artifact areas.

Indexed as

attenuation correctiondental fillingsinpaintingmetal artifactsPET/MRI

Identifiers

PMID26158104
PMCPMC4489511

What OpenQuestion holds

Textmetadata
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.