Prostate tissue decomposition via DECT using the modelbased iterative image reconstruction algorithm DIRA
2014 (English)In: Medical Imaging 2014: Physics of Medical Imaging / [ed] Bruce R. Whiting; Christoph Hoeschen; Despina Kontos, SPIE - International Society for Optical Engineering, 2014, Vol. 9033, no 90333H, Art.nr. 90333H- p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2014. Vol. 9033, no 90333H, Art.nr. 90333H- p.
, Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; Vol. 9033
Dual energy computed tomography, model based iterative reconstruction algorithm, brachytherapy, prostate calcification
IdentifiersURN: urn:nbn:se:liu:diva-107506DOI: 10.1117/12.2043445ISI: 000338775800120ScopusID: 2-s2.0-84901613219OAI: oai:DiVA.org:liu-107506DiVA: diva2:724798
Medical Imaging 2014 - Physics of Medical Imaging, San Diego, California, United States, 17–20 February 2014