Evidence map›Paper›PMID 25774063›Full record

ArticleIEEE transactions on nuclear science2014

Optimization of the Energy Window for PETbox4, a Preclinical PET Tomograph With a Small Inner Diameter.

Z Gu, Q Bao, R Taschereau, H Wang, B Bai, A F Chatziioannou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on nuclear science, 2014. 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
–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

5 citing papers in PubMed.

  1. Performance Evaluation of G8, a High-Sensitivity Benchtop Preclinical PET/CT Tomograph.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  2. Article
  3. Article
  4. Article
  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

6 authors.

Z GuCrump Institute for Molecular Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095 USA.
Q BaoCrump Institute for Molecular Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095 USA.
R TaschereauCrump Institute for Molecular Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095 USA.
H WangCrump Institute for Molecular Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095 USA.
B Baithe Keck School of Medicine, University of Southern California, Los Angeles, CA 90033 USA.
A F ChatziioannouCrump Institute for Molecular Imaging, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095 USA.

Funding

UCLA Imaging Resource for Mouse Cancer ModelsR24CA092865 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PHELPS, MICHAEL E · 2001 to 2006
$4.3M
The UCLA Imaging Resource for Mouse Cancer ModelsU24CA092865 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHATZIIOANNOU, ARION XENOFON, PHELPS, MICHAEL E · 2007 to 2011
$2.2M
NCI NIH HHS R24 CA092865NCI NIH HHS U24 CA092865
6 · The paper itself

Abstract

Small animal positron emission tomography (PET) systems are often designed by employing close geometry configurations. Due to the different characteristics caused by geometrical factors, these tomographs require data acquisition protocols that differ from those optimized for conventional large diameter ring systems. In this work we optimized the energy window for data acquisitions with PETbox4, a 50 mm detector separation (box-like geometry) pre-clinical PET scanner, using the Geant4 Application for Tomographic Emission (GATE). The fractions of different types of events were estimated using a voxelized phantom including a mouse as well as its supporting chamber, mimicking a realistic mouse imaging environment. Separate code was developed to extract additional information about the gamma interactions for more accurate event type classification. Three types of detector backscatter events were identified in addition to the trues, phantom scatters and randoms. The energy window was optimized based on the noise equivalent count rate (NECR) and scatter fraction (SF) with lower-level discriminators (LLD) corresponding to energies from 150 keV to 450 keV. The results were validated based on the calculated image uniformity, spillover ratio (SOR) and recovery coefficient (RC) from physical measurements using the National Electrical Manufacturers Association (NEMA) NU-4 image quality phantom. These results indicate that when PETbox4 is operated with a more narrow energy window (350-650 keV), detector backscatter rejection is unnecessary. For the NEMA NU-4 image quality phantom, the SOR for the water chamber decreases by about 45% from 15.1% to 8.3%, and the SOR for the air chamber decreases by 31% from 12.0% to 8.3% at the LLDs of 150 and 350 keV, without obvious change in uniformity, further supporting the simulation based optimization. The optimization described in this work is not limited to PETbox4, but also applicable or helpful to other small inner diameter geometry scanners.

Indexed as

Backscatterenergy windowGATENECRoptimizationPETPETbox4SF

Identifiers

PMID25774063
PMCPMC4356993

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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.