Datasets:

chinmay55
/

VesselTok-data

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VesselTok Data Release

This archive contains the preprocessed data used to train the Stage 1 implicit-function autoencoder in the VesselTok codebase.

`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.