Wavelets-Based Crystal Identification of Phoswich Detectors for Small-Animal PET
Why this work is in the frame
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Bibliographic record
Abstract
The advent of new all-digital electronic architectures in PET scanners enables the development and investigation of novel crystal identification algorithms for phoswich detectors used for parallax mitigation or higher detector pixelization. The high flexibility and real-time signal processing capability of FPGA/DSP-based digital electronics, such as the one developed for the LabPET scanner, provide an excellent platform to test enhanced digital methods. A novel approach based on the wavelet analysis theory has been investigated for crystal identification in phoswich detectors with crystals having similar scintillation characteristics such as LYSO (tr~40 ns) and LGSO (tr~65 ns). The proposed algorithm uses Stationary Wavelet Transform to clean the digitized signal and Discrete Wavelet Transform for crystal identification. Such a process can achieve a successful discrimination rate of ~95% for PET events measured with an LYSO-LGSO phoswich crystal combination readout by an avalanche photodiode.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it