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Record W4241988350 · doi:10.1109/nssmic.1995.510448

Performance studies of a depth encoding multicrystal detector for PET

2002· article· en· W4241988350 on OpenAlexafffund
C. Moisan, G. Tsang, J.G. Rogers, E.M. Hoskinson

Bibliographic record

Venue1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record · 2002
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsTRIUMF
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDetectorScintillationOpticsPosition (finance)Sensitivity (control systems)Block (permutation group theory)Resolution (logic)Encoding (memory)PhysicsPhotonScintillatorScintillation counterMaterials scienceComputer scienceMathematicsElectronic engineeringGeometryEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The authors report the results of design studies for a multicrystal detector with the capacity to encode the depth-of-interaction (DOI). These studies are based on a simulation that treats the interactions of /spl gamma/-rays and tracks scintillation photons in state-of-the-art position encoding PET detectors. The simulation was used to study the impact of a simple modification to the standard surface treatment of the EXACT HR PLUS block that induces a significant sensitivity of the photopeak pulse height upon the DOI of 511 keV /spl gamma/-rays. The depth resolution achieved with the altered block as well as the impact of the modification on its energy and position resolutions are presented. The results show a depth resolution of 6 to 7 mm for the inner crystals of the modified block. This is achieved at the cost of 16% less position addressing accuracy.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.051
GPT teacher head0.331
Teacher spread0.280 · 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

Citations0
Published2002
Admission routes2
Has abstractyes

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