ATTENUATION CORRECTION IN CARDIAC PET/CT USING A TIME- AVERAGED CT
Bibliographic record
Abstract
Heart disease is a leading cause of death in Canada, and Positron Emission Tomography (PET) is the gold standard for determining the viability of heart tissue following a heart attack. PET images require correction for attenuation, that is, for signal absorption by patient tissues. Attenuation correction (AC), is done via a transmission scan such as Computed Tomography (CT). However, due to the differences between PET and CT scan durations, respiration-induced motion can cause temporal mismatches leading to errors in the reconstructed PET image. This study compares the magnitude of these errors when single-phase CT, respiratory-averaged CT, and 4D CT are used for AC of cardiac PET in an in vivo canine model. The respiratory-averaged CT correction produced maximum percentage differences that were 7 times less than those produced by the single-phase correction. Using a respiratory-averaged CT may provide an accurate form of AC for cardiac PET imaging.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 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".