An Ultrafast High-Frequency Hardware Beamformer for a Phased Array Endoscope
Bibliographic record
Abstract
A ultra-fast high frequency ultrasound hardware based beamformer is described. The system was tested using a miniature 40 MHz 64 element phased array endoscope. The system used diverging wave beamforming with a total of 16 diverging waves in order to obtain a good beam profile at a 700+ Hz frame rate. Experimentally, the system was able to operate at a frame rate of 500 Hz, close to the implementations theoretical limit of 760 Hz. A novel technique was used to store 8.3 Million beamforming delays for 8 channels on a field programmable gate array (FPGA). The measured secondary lobe levels for the radiation pattern measurements were less than -35 dB and the main lobe had a beam width of 0.7 mm. Using field II, the simulated radiation pattern had secondary lobes suppressed to -50 dB and a beam width of 0.15 mm. Real-time images of wire phantoms were generated and displayed with custom developed imaging software.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".