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Record W2397229352 · doi:10.3233/978-1-60750-573-0-49

Towards a Handheld Probe based on Optical Coherence Tomography for Minimally Invasive Spine Surgeries

2010· article· en· W2397229352 on OpenAlexaff
Kathy Beaudette, Mathias Strupler, Mark Driscoll, Romain Maciejko, Caroline Boudoux

Bibliographic record

VenueStudies in health technology and informatics · 2010
Typearticle
Languageen
FieldEngineering
TopicOptical Coherence Tomography Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsOptical coherence tomographyMobile deviceComputer scienceInvasive surgeryMedicineRadiologySurgeryWorld Wide Web

Abstract

fetched live from OpenAlex

Minimally invasive surgical (MIS) techniques for the correction of scoliosis are under development. The installation of fusionless implants targeting the vertebral growth plate requires precise identification of spinal micro-structures. During ex vivo studies, we demonstrate that optical coherence tomography (OCT) allows visualization of spinal tissues including the growth plate, the intervertebral disc and the vertebral body. This study aims at designing a handheld probe using OCT and assessing its potential for use in MIS. An OCT handheld probe was built which satisfies criteria for resolution, penetration and field of view required for spinal MIS techniques. Ex vivo images of rat tail and porcine vertebrae enabled differentiating musculoskeletal tissues of the spine (growth plate, intervertebral disc and vertebral body). Pending in vivo studies on porcine models, we evaluated the probe on a human finger and demonstrated its ability to image human tissues at video rate (25 fps) with proper imaging depth and resolution. These preliminary results showed the potential of the OCT probe for dynamic and precise imaging of spinal tissues.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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 designTheoretical or conceptual
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

Citations2
Published2010
Admission routes1
Has abstractyes

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