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Record W4232802477 · doi:10.1109/ultsym.2017.8092405

A low-cost 10 mm diameter histotripsy transducer for tissue ablation guided by a co-registered high-frequency endoscopic phased array

2017· article· en· W4232802477 on OpenAlexaff
Jeffrey Woodacre, Thomas Landry, Jeremy A. Brown

Bibliographic record

Venue2017 IEEE International Ultrasonics Symposium (IUS) · 2017
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTransducerMaterials scienceHydrophoneParylenePhased arrayAblationBiomedical engineeringInsertion lossAcousticsOpticsOptoelectronicsElectrical engineeringPhysicsComposite material

Abstract

fetched live from OpenAlex

In this work, we present the development of a low-cost, 10 mm diameter histotripsy transducer with co-registered imaging using a 45 MHZ, 64-element phased array. The construction of 10 mm diameter transducer consisting of a 45% volume fraction composite, aluminum lens, and quarter-wavelength parylene matching layer is outlined. Steady-state peak-to-peak pressure ranges from 3.0 to 10.6 MPa as drive voltage ranges from 15 V to 50 V. The beam profile of the transducer was measured using a hydrophone, where the radial 3 dB width was found to be 0.176 mm while the 3 dB length in the axial direction was found to be 1.109 mm for a 20 cycle pulse. Co-registered imaging and ablation results for chinchilla neural tissue are shown.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.029
GPT teacher head0.299
Teacher spread0.269 · 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.

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
Published2017
Admission routes1
Has abstractyes

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