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Communication Dans Un Congrès Année : 2022

Consistency-based auto-calibration of the spectral model in dual-energy CT

Jérome Lesaint
  • Fonction : Auteur
Simon Rit

Résumé

We propose a consistency-based material decomposition algorithm. The method is free from any calibration procedure. The inverse spectral mixing model is approximated by a polynomial whose indeterminates are the raw-data values and whose coefficients are estimated by minimizing a consistency-based cost function. The consistency is in both the material sinograms and their mono-energetic combination. A small a priori on the object is incorporated in the minimization problem as a constraint. The method was evaluated on dual-energy simulations of a numerical phantom made of water and bone.
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Dates et versions

hal-03821856 , version 1 (19-10-2022)

Identifiants

Citer

Jérome Lesaint, Simon Rit. Consistency-based auto-calibration of the spectral model in dual-energy CT. Seventh International Conference on Image Formation in X-Ray Computed Tomography, Jun 2022, Baltimore, United States. pp.47, ⟨10.1117/12.2646526⟩. ⟨hal-03821856⟩
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