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Record W4242978874 · doi:10.1109/nssmic.2000.949172

NEMA NU 2-2000 performance measurements on an ADAC MCD camera

2002· article· en· W4242978874 on OpenAlexaff
V. Sossi, B. Pointon, C. Boudoux, P. Cohen, K. Hudkins, S. Jivan, K. Nitzek, J. deRosario, C. Stevens, T.J. Ruth

Bibliographic record

Venue2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149) · 2002
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsLions Gate HospitalUniversité LavalBritish Columbia Institute of TechnologyUniversity of British ColumbiaTRIUMF
Fundersnot available
KeywordsFull width at half maximumPhysicsRADIUSNuclear medicineTransverse planeOpticsMedicineAnatomy

Abstract

fetched live from OpenAlex

The clinically oriented NEMA-NU2 performance standards have been performed on an ADAC MCD dual head camera. At 1 cm radius the transverse resolution FWHM (FWTM) was measured to be 5.2 (10.0) mm and the axial was 5.0 (10.6) mm. At 10 cm radius the transverse radial resolution was 4.7 (7.4) mm and the transverse tangential was 8.5 (20.9) mm. The axial resolution was 14.0 (41.1) mm. The peak true count rate was 4365 counts/sec at a concentration of 4.3 kBq/ml. The peak noise equivalent count rate (NECR) was 1617 count/sec at 2.9 kBq/ml. The system scatter fraction was 48%. The maximum relative count rate error observed at the NECR peak was -42%. The sensitivity was 1014 cts/sec/MBq in the centre and 867 cts/sec/MBq at an offset of 10 cm. The contrast for the hot spheres ranged from 18.5 (11.6)% to 11.6 (7.9)% for the contrast ratio of 8:1 (4:1). For the cold spheres it ranged from 41% to 25% with an overall background variability of 7%. The residual error in scatter and attenuation correction was approximately 50%. All measurements were performed at the maximum allowed crystal-to-crystal distance of 810 mm.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.066
GPT teacher head0.300
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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