Evidence map›Paper›PMID 32624634›Full record

ArticleNuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment2020

Dual-Threshold Time-over-Threshold Nonlinearity Correction for PET Detectors.

Émilie Gaudin, Christian Thibaudeau, Louis Arpin, Haithem Bouziri, Réjean Fontaine, Roger Lecomte

Open access · greenAbstract read
In one paragraph

Article in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2020. 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
0.7field-weighted citation impact, top 27% 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, 16 citations in OpenAlex.

  1. PET Imaging of the Human Brain with Microvolumetric Spatial Resolution.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  2. FPGA-based digitizer for BGO-based time-of-flight PET.Physics in medicine and biology · 2025
    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 at 2 institutions in 1 country.

Émilie GaudinSherbrooke Molecular Imaging Centre and Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Christian ThibaudeauIR&T Inc., Sherbrooke, Québec, Canada.
Louis ArpinIR&T Inc., Sherbrooke, Québec, Canada.
Haithem BouziriInstitut Interdisciplinaire d'Innovation Technologique, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Réjean FontaineInstitut Interdisciplinaire d'Innovation Technologique, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Roger LecomteSherbrooke Molecular Imaging Centre and Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Université de Sherbrooke · CAQ & T Research · CA

Funding

Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography ImagingU01EB027003 · NIBIB · YALE UNIVERSITY · PI EL FAKHRI, GEORGES, FONTAINE, RÉJEAN · 2018 to 2022
$4.6M
NIBIB NIH HHS U01 EB027003
6 · The paper itself

Abstract

The Time-over-Threshold (ToT) analog-to-digital signal processing approach provides a power-efficient and cost-effective technique to extract all relevant information from detectors in high-energy physics and Positron Emission Tomography (PET) imaging. In this work, three calibration methods were investigated to correct the inherent nonlinear response of the ToT data using 1)

Indexed as

avalanche photodiodespositron emission tomographyTime-over-threshold

Identifiers

PMID32624634
PMCPMC7332782
OpenAlexW3022382449

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.