Supporting data: phase-contrast virtual chest radiography
Year: 2022
Type: dataset
Abstract: This dataset contains supporting data for the publication below (currently under review): If you use this dataset, please cite: Ilian Häggmark, Kian Shaker, Sven Nyrén, Bariq Al-Amiry, Ehsan Abadi, William Segars, Ehsan Samei, and Hans M. Hertz, "Phase-contrast virtual chest radiography", 2022 (under peer review) ------------------------------------- 1. Virtual patient (2D) [To be uploaded soon] 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 ------------------------------------- 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 ------------------------------------- 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 ------------------------------------- 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
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4393754308
