Sensitivity and Distortion Studies of Positron Emission Trancking System (PeTrack)
Bibliographic record
Abstract
Positron Emission Tracking (PeTrack) is a new real-time 3D tracking technique.The project studied the sensitivity and distortion of the PeTrack system with four different detector field of view (FOV) configurations using Monte-Carlo simulation software (GATE).The simulation studies demonstrated the clear boundaries for FOV and also revealed a local distortion up to 1 mm for PeTrack.The simulation also showed that the detector misalignment could introduce the distortion to the system.The amplitude of the distortion is approximately the half of the misalignment at the center of the FOV.The results of simulations lead us to calibrate the PeTrack system to obtain the global scaling factors.However, since PeTrack has a nonuniform distortion across FOV, the global scaling factors were helpful to only some extent.The value of calculated average error after global scaling correction is less than 1 mm.The PeTrack system is also co-registered with an x-ray imaging C-arm to evaluate the tracking performance.iii I would like to dedicate this thesis to My true love Ahad, My supportive family, & My great supervisor
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".