Poster — Wed Eve—12: Initial Experiments in Monoenergetic X‐Ray Scatter Imaging at the BioMedical Imaging and Therapy facility of the Canadian Light Source
Bibliographic record
Abstract
In projection x‐ray imaging, in the absence of a grid scattered x‐ray photons from the patient out‐number primary photons at the image receptor by as much as 10:1. Scattered radiation can significantly degrade projection contrast and signal‐to‐noise ratio in conventional projection imaging, but can also be used as a source of additional information about the patient or object examined. In principle, a raster scan by a primary pencil beam and two‐dimensional scatter field detector could be used to acquire the scatter information. Simultaneous measurements would reduce acquisition time. Here we report on our first investigations of using a fan beam. We used a monoenergetic radiation beam at the BioMedical Imaging and Therapy (BMIT) facility at the Canadian Light Source (CLS) synchrotron (Saskatoon, Saskatchewan). X rays of approximately 40 keV produced by the 05B1–1 bend magnet beamline were used with Computed Radiography plates as the detector. The fan beam was 1.1 mm thick by 10.6 cm wide. The circularly‐symmetric diffraction patterns of water, plastics, and porcine tissue samples were sampled outside of the fan plane. Signal processing based on cross‐correlation of the scatter field with arc patterns was investigated as a means to provide approximate localization of materials in the fan plane. A more sophisticated signal‐processing approach and/or collimation strategy will likely be necessary.
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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".