Simultaneous Attenuation and Scatter Corrections in Small Animal PET Imaging
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Bibliographic record
Abstract
The aim of this work is to simultaneously correct for attenuation and scatter in positron emission tomography (PET) by analytically assessing the distribution of the scattered photons using the emission images, the probability of scatter interactions and the detection efficiency. Above the usual lower energy threshold of 300 keV, the attenuated photons are dominantly those which have undergone a Compton scattering. A simple equation is established by considering that each voxel in the image is the measurement of the transmitted photons through the subject, added to the contribution from the other sources by means of their scatter. The solution of this equation allows to correct from scatter and attenuation simultaneously. This new method was applied for data measured with the Sherbrooke small animal PET scanner in line sources, hot spot phantoms, and in rat hearts and tumors.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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