Monte Carlo and Tissue-Phantom studies of Photoacoustic Imaging of Carotid Intraplaque Haemorrhage
Bibliographic record
Abstract
Strokes are the second leading cause of death worldwide. Vulnerable carotid plaques are a primary cause of stroke, with carotid Intraplaque Haemmorrghages being a key feature of vulnerability. MR imaging, which is sensitive to the presence of endogenous Methemoglobin (MetHb), is used to detect IPH. MRI is however expensive, and not readily available. We propose the use of Photoacoustic Imaging (PAI) for the detection of IPH, with MetHb being the primary PA imaging target. I examine the feasibility of this approach by performing Monte Carlo studies of light propagation, energy deposition and PA generation in tissuemimicking models, as well as experimental PA measurements of MetHb in tissue-mimicking phantoms. I show that is possible to achieve an SNR of ∼50dB at the average carotid artery depth of ∼21mm, with the possibility of imaging up to ≥ 32mm in Type I skin using commonly available hardware.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".