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Record W2774748041 · doi:10.1002/cmr.b.21359

Another alternate integrated circuit approach to modulation of radiofrequency transmission signals in magnetic resonance imaging

2017· article· en· W2774748041 on OpenAlexafffund
Benson P. Yang, Fred Tam, Clare E. McElcheran, Simon J. Graham

Bibliographic record

VenueConcepts in Magnetic Resonance Part B · 2017
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationSunnybrook Research Institute
KeywordsModulation (music)Computer scienceTransmission (telecommunications)Channel (broadcasting)SIGNAL (programming language)Electronic engineeringTelecommunicationsEngineeringPhysicsAcoustics

Abstract

fetched live from OpenAlex

Abstract Parallel radiofrequency transmission has garnered much attention for its wide range of benefits in magnetic resonance imaging ( MRI ), including reduced power deposition and radiofrequency excitation with improved spatial uniformity. However, few pT x systems are commercially available and most are expensive. This manuscript introduces another alternative parallel transmit architecture at 3 T based on field‐programmable gate array technology, and explores the utility of a low cost, integrated circuit approach to signal modulation that is easily scaled to high channel counts. The technical and engineering specifications of a complete 4‐channel signal modulation module are presented in detail, including radiofrequency characterization and MRI results. The experimental results are additionally compared to a commercially available 4‐channel modulation system. The findings indicate that the proposed device is easy to use, provides fine control of phase and amplitude on existing MRI systems, and can be fabricated for approximately 30 USD per channel. Initial estimates suggest that the complete 4‐channel modulation system (including the required software licenses and multi‐function reconfigurable input/output devices) can be implemented for approximately 10 000 USD .

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: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.328
Teacher spread0.294 · 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
Published2017
Admission routes2
Has abstractyes

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