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Record W1923006587 · doi:10.1109/nssmic.1992.301019

Effect of axial (2D mode) sampling and resolution on striatal phantom imaging in an ECAT 953B compared to a PETTVI

2003· article· en· W1923006587 on OpenAlexaff
Vesna Sossi, K. Buckley, T.J. Ruth

Bibliographic record

VenueIEEE Conference on Nuclear Science Symposium and Medical Imaging · 2003
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsTRIUMF
Fundersnot available
KeywordsUndersamplingImaging phantomSampling (signal processing)Resolution (logic)Nuclear medicineImage resolutionComputer scienceArtificial intelligenceMedicineComputer vision

Abstract

fetched live from OpenAlex

A series of scans of a glass striatal phantom has been performed to study amount of undersampling in PETTVI and in ECAT 953B tomographs. The ECAT 953B tomographs are shown to present a significant improvement in terms of resolution and axial sampling compared to the PETTVI. The axial sampling of the ECAT 953B is fine enough to allow a consistent recovery of the striatal signal, irrespective of the axial position of the phantom. A single scan is enough to obtain a complete description of the axial activity distribution profile even when imaging substructures of the human striatum. Positioning becomes of lesser consequence, immensely facilitating comparisons of inter-subject scans as well as of repeated scans of the same subject.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.360
Teacher spread0.332 · 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 designBench or experimental
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

Citations1
Published2003
Admission routes1
Has abstractyes

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