Evidence map›Paper›PMID 29411709›Full record

ArticlePhysics in medicine and biology2018

Impact of event positioning algorithm on performance of a whole-body PET scanner using one-to-one coupled detectors.

S Surti, J S Karp

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

2 authors at 1 institution in 1 country.

S SurtiDepartment of Radiology, The University of Pennsylvania, Philadelphia, PA 19104, United States of America.
J S KarpDepartment of Radiology, The University of Pennsylvania, Philadelphia, PA 19104, United States of America.
University of Pennsylvania · US

Funding

EXPLORER: Changing the Molecular Imaging Paradigm with Total Body PETR01CA206187 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BADAWI, RAMSEY D., CHERRY, SIMON R · 2015 to 2019
$15.5M
Time-of-Flight PET for Improved Whole-Body ImagingR01CA113941 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JOEL S KARP, Suleman Surti · 2006 to 2026
$9.8M
High Performance, Quantitative Breast PET Scanner Integrated With TomosynthesisR01CA196528 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ANDREW DOUGLAS ARNOLD MAIDMENT, Suleman Surti · 2016 to 2026
$5.9M
NCI NIH HHS R01 CA113941NCI NIH HHS R01 CA196528NCI NIH HHS R01 CA206187
6 · The paper itself

Abstract

The advent of silicon photomultipliers (SiPMs) has introduced the possibility of increased detector performance in commercial whole-body PET scanners. The primary advantage of these photodetectors is the ability to couple a single SiPM channel directly to a single pixel of PET scintillator that is typically 4 mm wide (one-to-one coupled detector design). We performed simulation studies to evaluate the impact of three different event positioning algorithms in such detectors: (i) a weighted energy centroid positioning (Anger logic), (ii) identifying the crystal with maximum energy deposition (1st max crystal), and (iii) identifying the crystal with the second highest energy deposition (2nd max crystal). Detector simulations performed with LSO crystals indicate reduced positioning errors when using the 2nd max crystal positioning algorithm. These studies are performed over a range of crystal cross-sections varying from 1  ×  1 mm

Indexed as

AlgorithmsEquipment DesignHumansPositron-Emission TomographyWhole Body Imaging

Identifiers

PMID29411709
PMCPMC5876041
OpenAlexW2793208992

What OpenQuestion holds

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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.