# VesselTok Data Release

This archive contains the preprocessed data used to train the **Stage 1 implicit-function autoencoder** in the [VesselTok](https://arxiv.org/abs/2603.18797) codebase.

## Contents

### `all_centerlines/`

Contains centerline graphs (`.vtp`) for all anatomies used in this work:

* ATM'22
* AIIB23
* AeroPath
* CoSTA
* PARSE 2022
* HiPaS
* Pulmonary_AV
* TopCoW

Set this directory as:

```yaml
configs/base_config.yaml
setup.ALL_CENTERLINES_PATH
```

### `sampled_points/`

Contains precomputed occupancy query points at a grid resolution of **512**.

There is one `.npz` file per centerline graph, with filenames matching those in `all_centerlines/`, except that the `.vtp` extension is replaced by `.npz`.

These files constitute the training-time cache used with:

```yaml
im_configs.training.use_precomputed_gt_distance: True
im_configs.training.num_points_per_axis_sampling: 512
```

Place this directory at:

```text
<MC_MESH_PATH>/occupancy/resolution_512/sampled_points
```

where `<MC_MESH_PATH>` corresponds to:

```yaml
configs/base_config.yaml
setup.MC_MESH_PATH
```

## Not Included

The following data are **not** included in this release:

* **Ablation-specific data**

  Data used for resolution or occupancy-radius sweeps, sub-/supersampled centerlines, OOD kidney chunks, and related ablation experiments are not included.

* **Other query-point resolutions**

  Precomputed query points at resolutions other than **512** are not included.

## Setup Instructions

See the **Data Setup** section of the main repository `README.md` for complete setup instructions.