Iterative Reconstruction for Quantitative Tissue Decomposition in Dual-Energy CT

  • Maria Magnusson
  • Alexandr Malusek
  • Arif Muhammad
  • Gudrun Alm Carlsson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6688)


Quantitative tissue classification using dual-energy CT has the potential to improve accuracy in radiation therapy dose planning as it provides more information about material composition of scanned objects than the currently used methods based on single-energy CT. One problem that hinders successful application of both single- and dual-energy CT is the presence of beam hardening and scatter artifacts in reconstructed data. Current pre- and post-correction methods used for image reconstruction often bias CT numbers and thus limit their applicability for quantitative tissue classification.

Here we demonstrate simulation studies with a novel iterative algorithm that decomposes every soft tissue voxel into three base materials: water, protein and adipose. The results demonstrate that beam hardening artifacts can effectively be removed and accurate estimation of mass fractions of all base materials can be achieved.

In the future, the algorithm may be developed further to include segmentation of soft and bone tissue and subsequent bone decomposition, extension from 2-D to 3-D and scatter correction.


Iterative reconstruction Dual energy CT Tissue classification Tissue composition Tissue decomposition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Maria Magnusson
    • 1
    • 2
    • 3
  • Alexandr Malusek
    • 2
    • 3
    • 4
  • Arif Muhammad
    • 2
  • Gudrun Alm Carlsson
    • 2
    • 3
  1. 1.Dept. of Electrical EngineeringLinköping UniversityLinköpingSweden
  2. 2.Dept. of Medical and Health Sciences, Radiation PhysicsLinköping UniversityLinköpingSweden
  3. 3.Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
  4. 4.Dept. of Radiation DosimetryNuclear Physics Institute AS CRPraha 8Czech Republic

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