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Record W624857675 · doi:10.7567/jjap.54.07hf01

A method to reduce the influence of reflected waves on shear velocity measurements using B-mode scanning time delay

2015· article· en· W624857675 on OpenAlexaff
Zhen Qu, Yuu Ono

Bibliographic record

VenueJapanese Journal of Applied Physics · 2015
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsCarleton University
Fundersnot available
KeywordsShear (geology)Imaging phantomAcousticsOpticsShear wavesFilter (signal processing)UltrasoundMaterials sciencePhysicsComputer science

Abstract

fetched live from OpenAlex

A method to reduce the influence of reflected shear wave (SW) on ultrasound measurement of shear velocity of a soft tissue specimen was proposed in this study. A backward SW reflected from tissue boundaries may interfere with a forward SW induced, resulting in shear velocity measurement error. In the B-mode scan of a conventional ultrasound imaging system there is a scanning time delay among the sequential A-mode measurements, which causes an artificial spatial frequency shift in the forward and backward SWs. The amount of the frequency shift is dependent on the propagation direction of the SWs with respect to the B-mode scanning direction. Therefore, the forward and backward SWs can be separated using a spatial frequency filter. The proposed method was verified using a soft tissue mimicking phantom. In the experimental results, the artificial frequency shifts were clearly observed for induced and reflected SW. Shear velocities of the phantoms were successfully measured from the filtered SW by the proposed method.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.349
Teacher spread0.293 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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