19 March 2014 Prostate tissue decomposition via DECT using the model based iterative image reconstruction algorithm DIRA
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Abstract
Better knowledge of elemental composition of patient tissues may improve the accuracy of absorbed dose delivery in brachytherapy. Deficiencies of water-based protocols have been recognized and work is ongoing to implement patient-specific radiation treatment protocols. A model based iterative image reconstruction algorithm DIRA has been developed by the authors to automatically decompose patient tissues to two or three base components via dual-energy computed tomography. Performance of an updated version of DIRA was evaluated for the determination of prostate calcification. A computer simulation using an anthropomorphic phantom showed that the mass fraction of calcium in the prostate tissue was determined with accuracy better than 9%. The calculated mass fraction was little affected by the choice of the material triplet for the surrounding soft tissue. Relative differences between true and approximated values of linear attenuation coefficient and mass energy absorption coefficient for the prostate tissue were less than 6% for photon energies from 1 keV to 2 MeV. The results indicate that DIRA has the potential to improve the accuracy of dose delivery in brachytherapy despite the fact that base material triplets only approximate surrounding soft tissues.
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Alexandr Malusek, Alexandr Malusek, Maria Magnusson, Maria Magnusson, Michael Sandborg, Michael Sandborg, Robin Westin, Robin Westin, Gudrun Alm Carlsson, Gudrun Alm Carlsson, } "Prostate tissue decomposition via DECT using the model based iterative image reconstruction algorithm DIRA", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90333H (19 March 2014); doi: 10.1117/12.2043445; https://doi.org/10.1117/12.2043445
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