Evidence map›Paper›PMID 28401175›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Anthropomorphic dual-lattice voxel models for optimizing image quality and dose.

Nina Petoussi-Henss, Helmut Schlattl, Janine Becker, Matthias Greiter, Maria Zankl, Christoph Hoeschen

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Anthropomorphic dual-lattice voxel models for optimizing image quality and dose.Journal of medical imaging (Bellingham, Wash.) · 2017
    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

6 authors.

Nina Petoussi-HenssInstitute of Radiation Protection , Helmholtz Zentrum München, Neuherberg, Germany.
Helmut SchlattlInstitute of Radiation Protection , Helmholtz Zentrum München, Neuherberg, Germany.
Janine BeckerInstitute of Radiation Protection , Helmholtz Zentrum München, Neuherberg, Germany.
Matthias GreiterIndividual Monitoring Service , Helmholtz Zentrum München, Neuherberg, Germany.
Maria ZanklInstitute of Radiation Protection , Helmholtz Zentrum München, Neuherberg, Germany.
Christoph HoeschenOtto-von-Guericke University , Medical Systems, Institute of Medical Technology, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using numerical simulations, the influence of various imaging parameters on the resulting image can be determined for various imaging technologies. To achieve this, visualization of fine tissue structures needed to evaluate the image quality with different radiation quality and dose is essential. The present work examines a method that employs simulations of the imaging process using Monte Carlo methods and a combination of a standard and higher resolution voxel models. A hybrid model, based on nonlinear uniform rational B-spline and polygon mesh surfaces, was constructed from an existing voxel model of a female patient of a resolution in the range of millimeters. The resolution of the hybrid model was [Formula: see text], i.e., substantially finer than that of the original model. Furthermore, a high resolution lung voxel model [[Formula: see text] voxel volume, slice thickness: [Formula: see text]] was developed from the specimen of a left lung lobe. This has been inserted into the hybrid model, substituting its left lung lobe and resulting in a dual-lattice geometry model. "Dual lattice" means, in this context, the combination of voxel models with different resolutions. Monte Carlo simulations of radiographic imaging were performed and the fine structure of the lung was easily recognizable.

Indexed as

anthropomorphicimagelungmodelsimulationvoxel

Identifiers

PMID28401175
PMCPMC5373163

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.