Spectral photon degradation model for energy-dependent scatter correction
Bibliographic record
Abstract
This work presents a new photon degradation model in emission imaging. By considering both spatial and spectral factors, the model provides a comprehensive description of the physical processes of photon scattering and detection in multiple energy window acquisition systems. The model is used to analyze the merits and deficiencies of spectral scatter correction methods, such as the Dual Energy Window (DEW), Multispectral Frame-by-frame (MF) and Holospectral Imaging (HI). The analysis is focused on assessment of the key assumptions on which these techniques are based. The proposed degradation model bridges the gap between these scatter correction approaches and the underlying physical assumptions by providing an analytical description of the energy-dependent scattering processes in the object and detector sub-systems. Such a description is useful for analyzing and modifying the existing scatter correction methods as well as developing new techniques based on energy information.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".