VesselTok Data Release
This archive contains the preprocessed data used to train the Stage 1 implicit-function autoencoder in the VesselTok 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:
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:
im_configs.training.use_precomputed_gt_distance: True
im_configs.training.num_points_per_axis_sampling: 512
Place this directory at:
<MC_MESH_PATH>/occupancy/resolution_512/sampled_points
where <MC_MESH_PATH> corresponds to:
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.