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Record W3022279553 · doi:10.1002/mp.14214

Technical Note: An anthropomorphic phantom with implanted neurostimulator for investigation of MRI safety

2020· article· en· W3022279553 on OpenAlexafffund
Benson P. Yang, Fred Tam, Benjamin Davidson, Pei‐Shan Wei, Clement Hamani, Nir Lipsman, Chih‐Hung Chen, Simon J. Graham

Bibliographic record

VenueMedical Physics · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsHealth Sciences CentreUniversity of TorontoMcMaster UniversitySunnybrook Health Science Centre
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImaging phantomBiomedical engineeringComputer scienceMagnetic resonance imagingMaterials scienceMedical physicsNuclear medicinePhysicsMedicineRadiology

Abstract

fetched live from OpenAlex

PURPOSE: The objective of this work was to design and construct an improved anthropomorphic phantom for use in studying magnetic resonance imaging (MRI) radiofrequency (RF) safety at 3 T related to deep brain stimulation (DBS), and especially the role of DBS lead trajectories. METHOD: Based on a computer-aided design including reasonable representation of human features, the phantom was fabricated by three-dimensional (3D) printing and then fully assembled with a human skull, a commercial DBS device implanted using the surgical standard at our institution, and fiber-optic temperature sensors embedded in two tissue mimicking solutions (e.g., the heterogeneous setup). Preliminary MRI safety experiments were conducted using turbo spin-echo (TSE) imaging with the device powered on and powered off. These results were then compared to analogous results for a homogeneous phantom setup that filled the structure with a standard body average solution. RESULT: Both phantom setups produced temperature increases of ~1.0°C, with a maximum increase of 1.1 ± 0.2°C recorded during imaging of the heterogeneous phantom setup. The preliminary experimental results suggest that improved phantom structures capable of replicating actual DBS lead trajectories may be advisable when conducting DBS-related MRI safety studies. CONCLUSION: An anthropomorphic phantom was constructed with promising initial results indicating different DBS lead trajectories and phantom setups may impact temperature elevations along an implanted DBS lead. Although additional work will be necessary to validate its efficacy over conventional phantoms, the anthropomorphic phantom can likely be used in the future to assess different procedures for DBS lead placement, the RF power deposition of MRI protocols applicable to DBS patients, and to validate novel methods to reduce localized heating effects associated with DBS devices, such as parallel RF transmission.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.342
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations8
Published2020
Admission routes2
Has abstractyes

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