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PVT1010

The PVT1010 dataset includes 1,010 pairs of high resolution inhale/exhale lung vascular trees extracted from 3D computed tomography (CT) images.

Details on how we extracted the lung vascular trees as high-resolution 3D point clouds from the raw CT images can be found at Suppl.A.1.

Download dirlab COPD data

We use public DirLab-COPD Gene dataset to evaluate our registration results. Please follow the official instruction to download the data.

DirLab-COPD includes 10 pair cases. For each pair, 300 expert annotated landmarks that are in correspondence with each other.

These 10 cases are used as test cases.

Download PVT1010

The full dataset can be accessed at

https://drive.google.com/drive/folders/1iA6VSAjmMP_iEHp1iae4anu-RELxtgTq?usp=sharing

The vascular tree reconstructions that are used in this study were part of the COPDGene study (NCT00608764). This study has been IRB approved and participants have provided their consent.

Prepare data

cd robot/experiments/datasets/lung
sh prepare_lung_data.sh DIRLAB_DATA_FOLDER PVT1010_DATA_FOLDER DATASPLITS_FOLDER
  • DIRLAB_DATA_FOLDER refers to unzipped dirlab data, including 10 data folders: copd1-copd10.
  • PVT1010_DATA_FOLDER refers to PVT1010 data, including 2020 vtk (1010 pairs) data files.
  • DATASPLITS_FOLDER (output folder) records the data splits. Four folders will be created in DATASPLITS_FOLDER, which refers to the "train", "val", "test", "debug"* splits.

*Here the "debug" split refers to a subset of training set, to help diagnose the model behavior on training set.

Visualization and analysis

  1. lung_local_plot.py visualizes the anistropic kernel on vessels
  2. lung_data_anlsysis.py computes and matches the lung radius distribution