Evidence map›Paper›PMID 34690436›Full record

ArticleJournal of inverse and ill-posed problems2020

Modelling and Simulation of Compton Scatter Image Formation in Positron Emission Tomography.

Ivan G Kazantsev, Samuel Matej, Robert M Lewitt, Ulrik L Olsen, Henning F Poulsen, Ivan P Yarovenko, Igor V Prokhorov

Abstract read
In one paragraph

Article in Journal of inverse and ill-posed problems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ivan G KazantsevInstitute of Computational Mathemtics and Mathematical Geophysics, 630090 Novosibirsk, Russia.
Samuel MatejUniversity of Pennsylvania, Department of Radiology, Philadelphia, PA 19104, USA.
Robert M LewittUniversity of Pennsylvania, Department of Radiology, Philadelphia, PA 19104, USA.
Ulrik L OlsenTechnical University of Denmark, Department of Physics, Fysikvej 307, 2800 Kgs. Lyngby, Denmark.
Henning F PoulsenTechnical University of Denmark, Department of Physics, Fysikvej 307, 2800 Kgs. Lyngby, Denmark.
Ivan P YarovenkoInstitute of Applied Mathematics, 7 Radio, 690041, Vladivostok, Russia.
Igor V ProkhorovInstitute of Applied Mathematics, 7 Radio, 690041, Vladivostok, Russia.

Funding

Time-of-Flight PET for Improved Whole-Body ImagingR01CA113941 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JOEL S KARP, Suleman Surti · 2006 to 2026
$9.8M
Development and application of 4D TOF reconstruction for quantitative PET imagingR01EB023274 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI MATEJ, SAMUEL · 2017 to 2020
$2.2M
NCI NIH HHS R01 CA113941NIBIB NIH HHS R01 EB023274
6 · The paper itself

Abstract

We present the comparative study of the analytical forward model and the statistical simulation of the Compton single scatter in the Positron Emission Tomography. The formula of the forward model has been obtained using the Single Scatter Simulation approximation under simplified assumptions and therefore we calculate scatter projections using independent Monte Carlo simulation mimicking the scatter physics. The numerical comparative study has been performed using a digital cylindrical phantom filled in with water and containing spherical sources of emission activity located at the central and several displaced positions. Good fits of the formula-based and statistically generated profiles of scatter projections are observed in the presented numerical results.

Indexed as

44A1244A3545H0565M3865N21analytical forward modelCompton single scatterMonte Carlo simulationPositron emission tomography

Identifiers

PMID34690436
PMCPMC8535948

What OpenQuestion holds

Textmetadata
LicenceTDM
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.