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Record W1978958024 · doi:10.1109/ultsym.2014.0527

Crossed-array transducer for real-time 3D imaging

2014· article· en· W1978958024 on OpenAlexaff
Andrew W. Joyce, Geoffrey R. Lockwood

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsQueen's University
Fundersnot available
KeywordsBeamwidthBeamformingTransducerApodizationAcousticsComputer scienceOpticsElectrical engineeringEngineeringElectronic engineeringPhysicsTelecommunicationsAntenna (radio)

Abstract

fetched live from OpenAlex

A crossed-array transducer for real-time three-dimensional imaging has been developed along with an accompanying transmit pulser and beamforming system. The system incorporates novel design features that address the unique constraints and requirements imposed by the crossed-array construction. These developments include a 1-3 composite with radially apodized polarization; a bipolar ±100V pulser with variable frequency and delay control, and a low-impedance ground in the off-state; and a transmit beamformer with a computer interface to monitor and control the system. Experimental results demonstrate the system to have a 3dB beamwidth of 2mm at 60mm depth (f/1.4) and 4mm at 80mm depth (f/1.8). The beam-shape has excellent confinement along the focused axis, and the defocused orthogonal plane reaches a maximum intensity drop of 6dB over a 45° sector.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.581

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)0.0010.000

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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 designNot applicable
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

Citations19
Published2014
Admission routes1
Has abstractyes

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