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Magnetization transfer in MRI: a review

2001· review· en· 922 citations· W2066520774 on OpenAlex· 10.1002/nbm.683

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Other designConsensus signal: none
Genre
Candidate signal: ReviewConsensus signal: Review
Teacher disagreement score
0.958
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.060
GPT teacher head0.431
Teacher spread
0.371 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract This review describes magnetization transfer (MT) contrast in magnetic resonance imaging. A qualitative description of how MT works is provided along with experimental evidence that leads to a quantitative model for MT in tissues. The implementation of MT saturation in imaging sequences and the interpretation of the MT‐induced signal change in terms of exchange processes and direct effects are presented. Finally, highlights of clinical uses of MT are outlined and future directions for investigation proposed. Copyright © 2001 John Wiley & Sons, Ltd. Abbreviations used: B eff effective magnetic field CRMG Carr–Purcell–Meiboom–Gill CW continuous wave FAIR flow sensitive alternating inversion recovery Gd‐DTPA gadolinium diethylenetriminepentaacetic acid MRA magnetic resonance angiography MRI magnetic resonance imaging MS multiple sclerosis MT magnetization transfer MTR magnetization transfer ratio RF radio frequency SAR specific absorption rate.

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.

The record

Venue
NMR in Biomedicine
Topic
Advanced MRI Techniques and Applications
Field
Medicine
Canadian institutions
University of Toronto
Funders
not available
Keywords
Magnetization transferNuclear magnetic resonanceMagnetizationMagnetic resonance imagingInterpretation (philosophy)Contrast (vision)PhysicsSaturation (graph theory)Computer scienceStatistical physicsMaterials scienceBiological systemArtificial intelligenceMedicineRadiologyMagnetic fieldMathematicsBiology
Has abstract in OpenAlex
yes