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Record W1867859193 · doi:10.1109/isbi.2002.1029425

Shape of phased array Doppler ultrasound sample volumes

2003· article· en· W1867859193 on OpenAlexaff
Amir Steinman, E.Y.L. Lui, R.S.C. Cobbold

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhased arrayDoppler effectTransducerAcousticsAttenuationDoppler ultrasoundUltrasoundPhysicsOpticsMaterials scienceComputer scienceTelecommunicationsRadiology

Abstract

fetched live from OpenAlex

Some of the methods used to reduce estimation errors make use of simplified models of the Doppler sample volume (SV). However, these models do not accurately take into account the SV's shape and pressure distribution. The SV can be accurately simulated through the inclusion of a Doppler time gate to a B-mode simulation based on the underlying physics of ultrasound propagation and reception from a linear phased array transducer, including the effects of focusing and attenuation. A commercial diagnostic B-mode/Doppler ultrasound system was simulated to produce four SVs at different axial depths and lengths. It was found that every SV's axial length was larger than the theoretical length used in its design. The further the SV was away from a focal depth, the greater its size in that dimension. The pressure distribution was not symmetrical about the center of the SV, but rather skewed towards the transducer.

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)0.001
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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