Published April 18, 2023 | Version v1
Journal article Open

Statistical Image Reconstruction with Beam-Hardening compensation for X-ray CT by a calibration step (2DIterBH)

  • 1. Universidad Carlos III de Madrid

Description

Data used in the paper "Statistical Image Reconstruction with Beam-Hardening compensation for X-ray CT by a calibration step (2DIterBH)”, by C. Martínez, D. Sanderson, J. A. Fessler, M. Desco and M. Abella submitted to Medical Physics.

All images are density maps.

  • Phantom_SD.7z: Phantom reconstructed from low dose data with FBP, FBP+JS, FBP+2DCalBH, PWLS, SegFreePoly, 1DIterBH and the proposed 2DterBH method calibrated with ideal (G) and realistic (H) phantom. Matrix size of 512x512 pixels (float, little endian).
  • Phantom_ULD.7z: Phantom reconstructed from ultra low dose data with FBP, FBP+JS, FBP+2DCalBH, PWLS, SegFreePoly, 1DIterBH and the proposed 2DterBH method calibrated with ideal (G) and realistic (H) phantom. Matrix size of 512x512 pixels (float, little endian) 
  • RealData_proj.7z: Real acquisition of a rodent CT study (abdomen and head) at 50 kVp (1 mm Al filter) given as two files of matrix size of 514×574×180 (float, little endian) per anatomical region.  Real acquisition of the calibration phantom composed of PMMA and Al-6082 at 50 kVp (1 mm Al filter). 
  • RealData_recon.7z: Head and abdomen study reconstructed with FBP, FBP+JS, FBP+2DCalBH, PWLS, SegFreePoly, 1DIterBH and the proposed 2DterBH method calibrated with ideal (G) and realistic (H) phantom. Matrix size of 514×514×574 voxels (float, little endian). FDK reconstruction of the calibration phantom composed of PMMA and Al-6082.

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