SU‐FF‐I‐17: Study On MOSFET Sensitivity Characteristics as a Function of Frame Rate in Modern Interventional Digital Pulsed Angiography/Fluoroscopy
Bibliographic record
Abstract
Purpose: Application of MOSFET technology in modern interventional pulsed digital angiography/fluoroscopy presents a new opportunity to measure organ dose in real‐time using anthropomorphic phantoms. The purpose of this paper was to study MOSFET response characteristics to a series of short pulses (10 msec pulse width) at various frame rates. To the best of our knowledge, no data have been published on the response characteristics of high sensitivity diagnostic MOSFET using modern interventional pulsed fluoroscopy system. Method and Materials: High sensitivity MOSFET detectors (model TN‐1002RD, Thomson‐Nielson, Ottawa, Canada) and an ion chamber (model 10×5–6 ion chamber and model 9015 monitor, Radcal, Monrovia, CA) were exposed to a series of pulsed x‐ray beams (pulse width 10 msec) at different frame rates and MOSFET response characteristics were studied as a function of frame rate. To simulate patient, aluminum plate (total thickness 1.5″) was placed between the patient table and a flat panel detector. Philips Integris Allura 3‐D rotational angiography system was employed. The frame rate was varied as follows: 0.5/s, 1/s, 2/s, 3/s, 7.5/s, 15/s, and 30/s. These frame rates cover entire spectrum of clinical applications; from interventional radiological procedures to cardiac catheterization applications. Results: Normalized MOSFET responses (mV/Roentgen) were plotted as a function of frame rate and MOSFET responses were constant as a function of the frame rate. Conclusion: Using state‐of‐the‐art interventional radiology x‐ray system, we observed that response characteristics of the MOSFET remained constant as a function of frame rate. This suggests that MOSFET technology may be used for interventional angiography and cardiac catheterization dosimetry.
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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".