Published May 15, 2025 | Version v3
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DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction - Real-World Synchrotron CT Dataset

Creators

Description

This dataset contains synchrotron X-ray CT scans of two rock samples. For each sample, both the raw projection dataand the reconstructed slices are provided. The reconstructions include flat-field correction (using median dark and flat fields), log transformation, and ring artifact reduction.

 

This dataset accompanies the manuscript:

“DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction”

and is also suitable for evaluating other advanced CT reconstruction methods under realistic and practical conditions.

 

Files

File Name

Description

F3_1_mono.zip

Raw projections for sample F3_1, including 1200 projections, 20 dark fields, and 20 flat fields.

F3_1_recon_corr.zip

Reconstructed slices of F3_1 after flat-field correction, log transformation, and ring artifact reduction.

F3_2_mono.zip

Raw projections for sample F3_2, including 1200 projections, 20 dark fields, and 20 flat fields.

F3_2_recon_corr.zip

Reconstructed slices of F3_2 with the same processing steps as F3_1.

 

Key Scanning Parameters

Parameter

Value

Pixel size

9 um 

Angular step

0.15°

Exposure time

4 s

Sample-to-detector distance

150 mm

Number of projections

1200

Energy

24 keV

Filter

None

Center of rotation

−61 (F3_1), −62 (F3_2)

 

Code

Reconstruction code including all preprocessing and postprocessing steps — such as flat-field correction, log transformation, rotation, and ring artifact reduction — is available at:

https://github.com/DM4CT/DM4CT

The repository also includes scripts that reproduce the cropped reconstructions used in the accompanying paper.

Files

croissant.json

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