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Record W7062708540

An Ultrasound Contrast Agent Microbubble in a Microvessel: A Numerical Approach

2015· dissertation· en· W7062708540 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicrobubblesBubbleUltrasoundOscillation (cell signaling)Compression (physics)Elasticity (physics)HarmonicsArterial wall
DOInot available

Abstract

fetched live from OpenAlex

The blood brain barrier (BBB), a selective barrier separating blood from the parenchyma of the central nervous system, restricts more than 98% of neurotherapeutics from traveling into the brain. Focused ultrasound (FUS) exposure combined with circulating microbubbles is an emerging technique capable of safely opening the BBB locally, transiently, and non-invasively, enabling targeted drug delivery in the brain. However, the mechanisms of the microbubble-vessel interactions central to this process are not fully understood. \nIn this thesis, a comprehensive numerical model of a microbubble within a microvessel was developed aiming to shed light on bubble-vessel interactions, vessel wall mechanical stresses and acoustic emissions during FUS-induced BBB opening. An upward shift in the bubble's resonance frequency relative to unbound bubbles was calculated, whose magnitude was dependent on the vessel elasticity. The synergistic effects of acoustic frequency and vessel elasticity on wall stresses were investigated. Vessel wall stresses were found to be maximal when the bubble was driven above resonance. The numerical model was validated with ex vivo high-speed optical imaging experiments. Resultant amplitudes of bubble oscillation were within 15% of corresponding experimental measurements. Vessel wall stresses calculated during bubble compression (and vascular invagination) were larger than those during bubble expansion, implying that vascular damage could occur during this phase. The acoustic emissions from the ultrasound-stimulated microbubble were calculated, and their correlation with the vessel wall stresses was investigated. The normalized second harmonic decreased as a function of pressure until reaching a minimum, "transition point", after which point it was found to increase. The second and fourth harmonics of confined bubbles at this point were larger than those of unbound bubbles. Above the transition point, stresses induced by larger bubbles increased with a steeper slope. The results presented in this thesis could help in enhancing contrast imaging strategies, understanding bubble-vessel interactions, and optimizing ultrasound pulse parameters to maximize vessel wall stresses to improve drug delivery efficacy. Furthermore, the calculated acoustic emissions could provide feedback to online monitoring techniques and enable calibration of in vivo pressures.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.247
Teacher spread0.234 · 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