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Record W2169393871 · doi:10.1109/ultsym.2010.5935835

Brachytherapy strand visibility in reflected power ultrasound images: Comparison of EchoStrand vs. regular strands using 3D visibility profiles

2010· article· en· W2169393871 on OpenAlexaff
Mehdi Moradi, Jack Zheng, Septimiu E. Salcudean

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVisibilityBrachytherapyUltrasoundEchogenicityMaterials scienceImaging phantomDosimetryTransducerBiomedical engineeringOpticsAcousticsRadiologyMedicineRadiation therapyPhysics

Abstract

fetched live from OpenAlex

Poor visibility of the implanted brachytherapy seeds in ultrasound images is an obstacle for real time ultrasound-based dosimetry. A common practice in brachytherapy is to encapsulate the seeds in a structure called strand, manufactured from a synthetic bioabsorbable polymer. A possible solution to the visibility problem of the brachytherapy seeds is to localize the strand polymers, as opposed to the seeds, by using an echogenic strand polymer as in the EchoStrand product from BrachySciences. We extract and compare the 3D visibility profiles of EchoStrand with those of regular strands, at different angles between the ultrasound probe and the strand. The results show that the ultrasound visibility of both strand types decreases when the angle of orientation between the ultrasound transducer and the strand increases. However, at non-parallel orientations, the EchoStrand is significantly (p-value <; 0.03) more visible compared to regular strands.

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)0.003
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.015
GPT teacher head0.333
Teacher spread0.318 · 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
Published2010
Admission routes1
Has abstractyes

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