Evidence map›Paper›PMID 29247300›Full record

ArticleEJNMMI physics2017

Monte Carlo-based quantitative pinhole SPECT reconstruction using a ray-tracing back-projector.

Mikael Peterson, Johan Gustafsson, Michael Ljungberg

Abstract read
In one paragraph

Article in EJNMMI physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Monte Carlo methods for medical imaging research.Biomedical engineering letters · 2024
    Review
  3. Article
  4. Review
  5. Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020
    Review
  6. Article
  7. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mikael PetersonDepartment of Medical Radiation Physics, Lund University, SE-221 85, Lund, Sweden. mikael.peterson@med.lu.se.ORCID http://orcid.org/0000-0002-5933-7623
Johan GustafssonDepartment of Medical Radiation Physics, Lund University, SE-221 85, Lund, Sweden.
Michael LjungbergDepartment of Medical Radiation Physics, Lund University, SE-221 85, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonte Carlo simulations provide accurate models of nuclear medicine imaging systems as they can properly account for the full physics of photon transport. The accuracy of the model included in the maximum-likelihood-expectation-maximization (ML-EM) reconstruction limits the overall accuracy of the reconstruction results. In this paper, we present a Monte Carlo-based ML-EM reconstruction method for pinhole single-photon emission computed tomography (SPECT) that has been incorporated into the SIMIND Monte Carlo program. The Monte Carlo-based model, which accounts for all of the physical and geometrical characteristics of the camera system, is used in the forward-projection step of the reconstruction, while a simpler model based on ray-tracing is used for back-projection. The aim of this work was to investigate the quantitative accuracy of this combination of forward- and back-projectors in the clinical pinhole camera GE Discovery NM 530c.

resultsThe total activity was estimated in

conclusionsWe developed a Monte Carlo-based reconstruction method for pinhole SPECT and evaluated it using phantom measurements. The combination of a Monte Carlo-based forward-projector and a simplified analytical ray-tracing back-projector produced quantitative images of acceptable image quality. No explicit calibration is necessary in this method since the forward-projector model maintains a relationship between the number of counts and activity.

Indexed as

Dual-matrix reconstructionMonte Carlo-based reconstructionMonte Carlo simulationsMyocardial perfusion SPECT imagingPinhole SPECT reconstructionSPECT reconstruction

Identifiers

PMID29247300
PMCPMC5732128

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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.