Evidence map›Paper›PMID 29755844›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2018

Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals.

Judit Lantos, Erik S Mittra, Craig S Levin, Andrei Iagaru

Open access · greenAbstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.8field-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

32 citing papers in PubMed, 52 citations in OpenAlex.

  1. A Novel Method in PET Image Reconstruction Using MRI Anatomical Priors.IEEE transactions on radiation and plasma medical sciences · 2025
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  2. Reducing acquisition time in O-(2-Quantitative imaging in medicine and surgery · 2025
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  9. Comparison of quantitative whole body PET parameters on [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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  11. A proper protocol for routineEJNMMI physics · 2023
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  12. Article
  13. Optimization of the Acquisition Time and Injected Dose ofWorld journal of nuclear medicine · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Image enhancement of whole-body oncology [European journal of nuclear medicine and molecular imaging · 2022
    Article
  19. Article
  20. New PET technologies - embracing progress and pushing the limits.European journal of nuclear medicine and molecular imaging · 2021
    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 at 1 institution in 1 country.

Judit LantosDepartment of Radiology, Stanford University Stanford 94305, CA, USA.
Erik S MittraDepartment of Radiology, Stanford University Stanford 94305, CA, USA.
Craig S LevinDepartment of Radiology, Stanford University Stanford 94305, CA, USA.
Andrei IagaruDepartment of Radiology, Stanford University Stanford 94305, CA, USA.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the block sequential regularized expectation maximization (BSREM) algorithm. ACR phantom measurements with different count statistics and 60 PET/CT research scans from the GE Discovery 600 and 690 scanners were reconstructed using BSREM and the standard-of-care OSEM algorithm. Hot concentration recovery and cold contrast recovery were measured from the phantom data. Two experienced nuclear medicine physicians reviewed the clinical images blindly. Liver SNR liver and SUV

Indexed as

BSREMimageOSEMPETreconstruction

Identifiers

PMID29755844
PMCPMC5944826
OpenAlexW2977432542

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.