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Record W1929885196 · doi:10.1109/ccece.2004.1349743

Custom column readout circuitry to extend the dynamic range of a-Si:H current mediated pixel amplifiers for large area diagnostic X-ray imaging applications

2004· article· en· W1929885196 on OpenAlexafffund
Tony Ottaviani, K. S. Karim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicDigital Radiography and Breast Imaging
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsPixelFluoroscopyDynamic rangeAmplifierImage resolutionWide dynamic rangeOpticsDigital radiographyNoise (video)Image sensorPhysicsOptoelectronicsMaterials scienceRadiographyComputer scienceArtificial intelligenceCMOSImage (mathematics)

Abstract

fetched live from OpenAlex

In real-time X-ray fluoroscopy, the patient is continuously exposed to radiation, hence requiring a reduced X-ray dose which results in small input signals to the digital imaging pixel electronics. Conventional switch based amorphous silicon imagers result in poor signal-to-noise ratios (SNR) at low fluoroscopic exposure levels due to noise added by pixel readout electronics. In contrast, amorphous silicon amplified pixels have been reported to give a good SNR for fluoroscopy but their output becomes non-linear for higher doses, limiting their use to low exposure X-ray imaging applications. In this research, we present modifications to column readout amplifier electronics that can extend the dynamic range of an amplified pixel. The larger dynamic range is of particular relevance for amplified pixels used in dual-mode imagers that can switch instantaneously between fluoroscopy and higher contrast chest radiography imaging modes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.283
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2004
Admission routes2
Has abstractyes

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