A Piezoelectric Robotic System for MRI Targeting Assessments of Therapeutics During Dipole Field Navigation
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Bibliographic record
Abstract
Dipole field navigation (DFN) is a method that has been developed to deliver therapeutics toward tumoral regions by navigating microcarriers in the vascular network. To do so, DFN distorts the high uniform magnetic field of a clinical magnetic resonance imaging (MRI) scanner using precisely located ferromagnetic balls to create magnetic gradients to implement the directional forces required to navigate magnetically saturated therapeutic microcarriers along a planned trajectory in the vasculature. Such local distortions of the magnetic field prevent MRI-based targeting assessments. As such, a system must be put in place to precisely move the ferromagnetic balls back-and-forth to alternate between MRI targeting assessment and DFN. Here, a piezoelectric actuation system is proposed. In vitro experiments conducted inside the bore of a 3T clinical MRI scanner show the feasibility for reliable targeting assessments with magnetic distortions sufficient to achieve a 100% success rate of magnetic microparticles being navigated through a predefined target branch at a bifurcation. Results show a 21.6% decrease in SNR with a maximum value of 2.2% MR-image distortion and a faintly visible image artifact after the piezoelectric system moved the soft ferromagnetic balls in the MRI targeting assessment position.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it