Supporting data: phase-contrast virtual chest radiography

This dataset contains supporting data for the publication below:

• Ilian Häggmark, Kian Shaker, Sven Nyrén, Bariq Al-Amiry, Ehsan Abadi, William P. Segars, Ehsan Samei, and Hans M. Hertz, "Phase-contrast virtual chest radiography", Proceedings of the National Academy of Sciences 120 (1), e2210214120 (2023). https://doi.org/10.1073/pnas.2210214120

If you use this dataset for your work, please cite this publication.

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1. Virtual patient (2D)

An upsampled and projected virtual patient derived from the XCAT model (see paper for more details). The projected thickness (unit: [m]) of 28 separate materials are stored in the mat-file 'virtual_patient.mat'. The accompanying text file 'virtual_patient_materials.txt' lists all 28 materials (3rd dimension in the virtual patient .mat file) .

Data information:

• File type: .mat
• Size: 39200x52200x28 (3D matrix, single, 32-bit)
• Pixel size: 7.69x7.69 µm²

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2. Full-chest virtual radiographs

Three full-size virtual chest radiographs of the virtual patient (above) simulated with different settings:

• Conventional (z = 0 m, 120 kVp tungsten spectrum)
• Control (z = 0 m, 60 keV monochromatic)
• Phase contrast (z = 12 m, 60 keV monochromatic)

Data information:

• File type: .tif (16-bit)
• Data size: 8000x6000 pixels
• Pixel size: 50x50 µm²

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3. Zoom in on chest radiographs at different propagation distances

This is the underlying data for Figure 2 in the paper.

Data information:

• File type: .tif (16-bit)
• Data size: 600x600 pixels
• Pixel size: 50x50 µm²

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4. Observing airway wall thickening

This is the underlying data for Figure 5 in the paper.

Data information:

• File type: .tif (16-bit)
• Data size: 750x750 pixels
• Pixel size: 50x50 µm²