Improved coordinate reconstruction for SiPM based gamma detector with pixelated scintillating crystal and multiplexed readout
Bibliographic record
Abstract
Currently the prevailing high-resolution Positron Emission Tomography (PET) detector architecture consist of a high-density and high-atomic number scintillating crystals coupled to a pixelated photosensitive layer such as position sensitive photomultiplier tubes (PS-PMTs) or silicon photomultiplier (SiPM) arrays. Such detectors typically rely on some form of analog signal multiplexing in order to minimize the number of readout electronics channels and the positions of the gamma ray interactions are calculated using Center-of-Gravity (CoG) method.In this paper we report on the Truncated Center of Gravity (TCoG) and Raised To the Power (RTP) methods for reconstruction of the positions of the gamma ray interactions as applied to a newly developed small-scale PET detector prototype based on 24x24 LYSO scintillation crystal arrays and 8x8 SiPM arrays. In the current small-scale prototype, the analog signal readout is optimized with 64:16 multiplexing ratio.A notable advantage of using TCoG or RTP algorithms instead of basic Centre-of-Gravity (CoG) is demonstrated. Particularly, the Field of View (FOV) distortion inherent to CoG reconstruction is eliminated.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".