Low-cost digital radiographic imaging systems: the x-ray light valve
Bibliographic record
Abstract
In recent years, new x-ray radiographic systems based on large area flat panel technology have revolutionized our capability to produce digital x-ray radiographic images. However, these active matrix flat panel imagers (AMFPI) are extraordinarily expensive compared to the systems they are replacing. Thus there is a clear need for a low cost digital imaging system for general applications in radiology. Different approaches have been considered to make lower cost xray imaging devices for digital radiography, including: reducing the cost of existing flat panel systems, scanned projection x-ray, an approach based on computed radiography (CR) technology, and optically demagnified x-ray screen/camera systems. All of these approaches are quite expensive and none have the image quality of AMFPIs. We have identified a new approach - the X-ray Light Valve (XLV). It combines three well-established technologies: an a- Se layer to convert x-rays to image charge, a liquid crystal (LC) cell, and a scanned digital readout. This device achieves our goal of immediate readout with image quality comparable to an AMFPI, while keeping costs low. The XLV system has been shown to have all the properties required for general radiography.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".