Active Catheter Tracking Error Characterization for MR-guided Cardiac Interventions
Bibliographic record
Abstract
Magnetic resonance imaging is a promising imaging modality for guiding minimally invasive cardiac interventions via tracking of catheters containing active elements. Recent work has shown that a targeting accuracy of <5 mm is desired for effective delivery of cardiac regenerative therapies, and so there is a need to characterize the positional error associated with tracking such devices. This thesis features two experiments, through which comparisons were performed between two different pulse sequences employed to track catheters that were either fixed in place or subject to specific motion profiles. In both studies, the 5 mm error constraint was achieved when using a Hadamard multiplexed active tracking pulse sequence in conjunction with the novel “Joint Peak-Normed Gaussian” localization algorithm. Future work will focus on improving tracking accuracy through pulse sequence and localization algorithm modifications, and performing in vivo error characterization, all for facilitating clinical translation of cardiac interventions requiring MR-guided delivery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".