Partial Volume Correction Using Continuous Wavelet Technique in Small Animal PET Imaging
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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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".