Partial Volume Correction Using Continuous Wavelet Technique in Small Animal PET Imaging
Why this work is in the frame
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Bibliographic record
Abstract
The underestimation of the emitted radioactivity in small tissue structures measured with PET unfortunately requires correction for the partial volume effect (PVE) prior to image analysis. Meanwhile, the continuous wavelet transform (CWT) has the potential to isolate the signal of small structures from their environments, and to determine each structure by its width and position in PET images. Using CWT analysis and recovery coefficients (RQ, we report a new approach to correct for PVE in phantom and in rat PET images, regardless of the shape of the structures. The results show a full recovery in image intensity in the phantom small hot spots, and similarly in the rat tumors without any additional noise. On the other hand, dynamic FDG-PET was performed in rat images before and after PVE correction to assess tumor metabolic rates of glucose (MRG). The MRG values after PVE correction were significantly increased by 2.2 and 2.1 mumoles/100g/min for right and left tumors respectively, compared to those before PVE correction.
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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 | 0.001 | 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