402 IR-SSFP (Inversion Recovery Steady-State Free Precession)
Bibliographic record
Abstract
Cardiac MR viability studies normally consist of wall motion imaging pre gadolinium injection and delayed enhancement imaging post gadolinium injection.In myocardial delayed enhancement imaging, it is essential to optimize the inversion time (TI) in order to null myocardial signal and better visualize scar tissue.This can be time consuming during an MR exam when contrast is quickly dissipating.ECG gating is necessary and almost all cardiac MR pulse sequences require the patient to hold their breath in order to obtain motion free images.With all of the pre and post contrast breath holds, the exam time is long and patients get tired by the time the delayed enhancement imaging occurs.The purpose of this paper is to explain a new cardiac MR pulse sequence that yields both wall motion and viability information, IR-SSFP [1].This sequence will decrease the amount of breath holds during an MR exam, reducing the total exam time and making it easier for the patient to complete the exam.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.020 | 0.007 |
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".