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Record W2133151399 · doi:10.1109/tns.2009.2032091

Development and Validation of a GATE Simulation Model for the LabPET Scanner

2009· article· en· W2133151399 on OpenAlexaff
Sanae Rechka, Réjean Fontaine, M. Rafecas, Roger Lecomte

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2009
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsScannerSensitivity (control systems)Photoelectric effectImage resolutionDetectorResolution (logic)PhysicsOpticsComputational physicsElectronic engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

A three-dimensional (3D) of the LabPET scanner has been newly developed by means of GATE (Geant4 application for tomographic emission) with the purpose of carrying out a detailed study of the system's performance. The accuracy of this model was examined by comparing simulated, theoretical and experimental results obtained with LabPET for different performance features including detection efficiency, sensitivity, count rates, photoelectric probability, phoswich detector energy resolution and intrinsic spatial resolution. An agreement of 95% for singles count rates, 96% for detection efficiency and 90% for absolute sensitivity was obtained between simulations and measurements. Also, an agreement of >97% for photoelectric fraction, > 96% for radial intrinsic resolution and >93% for axial intrinsic resolution, was obtained between simulations and the theoretical calculations. In conclusion, the achieved results support the accurate modeling of LabPET with GATE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.335
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2009
Admission routes1
Has abstractyes

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