Dataset Open Access

LoDoPaB-CT Dataset

Leuschner, Johannes; Schmidt, Maximilian; Otero Baguer, Daniel

A Benchmark Dataset for Low-Dose CT Reconstruction Methods.

The following paper provides full documentation:

Leuschner, Johannes and Schmidt, Maximilian and Otero Baguer, Daniel and Maaß, Peter. "The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Methods". 2019. arXiv:1910.01113

The python library DIVαℓ (github.com/jleuschn/dival) can be used to download and access the dataset.

Reconstructions from the LIDC/IDRI dataset are used as a basis for this dataset.

 

The ZIP files included in the LoDoPaB dataset contain multiple HDF5 files. Each HDF5 file contains one HDF5 dataset named "data", that provides a number of samples (128 except for the last file in each ZIP file). For example, the n-th training sample pair is stored in the files "observation_train_%03d.hdf5" and "ground_truth_train_%03d.hdf5" where "%03d" is floor(n / 128), at row (n mod 128) of "data".

Note: each last ground truth file (i.e. ground_truth_train_279.hdf5ground_truth_validation_027.hdf5 and ground_truth_test_027.hdf5) still contains a HDF5 dataset of shape (128, 362, 362), although it contains less than 128 valid samples. Thus, the number of valid samples needs to be determined from the total samples numbers in the part (i.e. "train": 35820, "validation": 3522, "test": 3553), or from the corresponding observation file, for which the first dimension of the HDF5 dataset matches the number of valid samples in the file.

The randomized patient IDs of the samples are provided as CSV files. The patient IDs of the train, validation and test parts are integers in the range of 0–631, 632–691 and 692–751, respectively. The ID of each sample is stored in a single row.

Files (55.0 GB)
Name Size
ground_truth_test.zip
md5:ecc655767fbe3d40908ca823921f4c7f
1.6 GB Download
ground_truth_train.zip
md5:f06829ccf2b9bb817abd093ce490b2c7
15.9 GB Download
ground_truth_validation.zip
md5:666c36f403734842f14ca8811a63b8f7
1.6 GB Download
observation_test.zip
md5:9ae6b053bb1faa94d573311af8ec67b2
3.0 GB Download
observation_train.zip
md5:c4fde721ac5862469812de49f98fb0a3
29.9 GB Download
observation_validation.zip
md5:3cff406e09c59774912655eb7a72cfcf
2.9 GB Download
patient_ids_rand_test.csv
md5:e86068312ad8a039e03f7f929352f7fd
14.2 kB Download
patient_ids_rand_train.csv
md5:4fee01b076920f85fc92e0de774dc277
137.0 kB Download
patient_ids_rand_validation.csv
md5:a387e619074f49573ae376c60a948db4
14.1 kB Download
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