Virtual cohort of 1000 synthetic heart meshes from adult human healthy population
Bibliographic record
Abstract
<strong>Dataset Description: </strong>We present a database of four-chamber heart models derived from a statistical shape model (SSM) suitable for electro-mechanical (EM) simulations. Our database consists of 1000 four-chamber heart models generated from end-diastolic CT-derived meshes (available in the repository called ("Virtual cohort of adult healthy four-chamber heart meshes from CT images"). These meshes were used for EM simulations. The weights of the SSM are also provided. <strong>Cardiac meshes:</strong> To<strong> </strong>build the SSM, we rigidly aligned the CT cohort and extracted the surfaces, representing them asdeRham currents. The registration between meshes and computation of the average shape was done using a Large Deformation Diffeomorphic Metric Mapping method. The deformation functions depend on a set of uniformly distributed control points in which the shapes are embedded, and on the deformation vectors attached to these points. It is in this spatial field of deformation vectors (one per each control point) where the Principal Component Analysis (PCA) is applied. Case #20 of the CT cohort was not included. More information on the details can be found in Supplement 3 of the reference paper. We created this cohort by modifying the weight of the modes explaining 90%of the variance in shape (corresponding to modes 1 to 9) within 2 standard deviations (SD) of each mode added to the average mesh. The elements of all the meshes are labelled as follows: Left ventricle myocardium Right ventricle myocardium Left atrium myocardium Right atrium myocardium Aorta wall Pulmonary artery wall Mitral valve plane Tricuspid valve plane Aortic valve plane Pulmonary valve plane Left atrium appendage "inlet" Left superior pulmonary vein inlet Left inferior pulmonary vein inlet Right inferior pulmonary vein inlet Right superior pulmonary vein inlet Superior vena cava inlet Inferior vena cava inlet Left atrial appendage border Right inferior pulmonary vein border Left inferior pulmonary vein border Left superior pulmonary vein border Right superior pulmonary vein border Superior vena cava border Inferior vena cava border Each zipped folder contains 25 meshes and the weights of modes used to construct them for each mesh, A VTK file for each mesh (in ASCII) contains an UNSTRUCTURED GRID with the following fields: POINTS, with the coordinates of the points in mm. CELL_TYPES, having all of the points the value 10 since they are tetrahedra. CELLS, with the indices of the vertices of every element. CELL_DATA, corresponding to the meshing tags. In addition, three descriptive files are included: <em>Normalized_explained_variance.csv </em>contains the percentages of variance explained by each of the 18 modes generated from PCA. <em>Mode_standard_deviation.csv</em> contains absolute standard deviations of each of the 18 modes. <em>Eigenvectors.csv </em>contains the directions of maximum shape variability within the shape population.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".