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Prostate tissue decomposition via DECT using the modelbased iterative image reconstruction algorithm DIRA
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9072-2204
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.ORCID iD: 0000-0003-3352-8330
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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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, Published paper (Refereed)
Abstract [en]

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.
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; Vol. 9033
Keyword [en]
Dual energy computed tomography, model based iterative reconstruction algorithm, brachytherapy, prostate calcification
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-107506DOI: 10.1117/12.2043445ISI: 000338775800120Scopus ID: 2-s2.0-84901613219OAI: oai:DiVA.org:liu-107506DiVA: diva2:724798
Conference
Medical Imaging 2014 - Physics of Medical Imaging, San Diego, California, United States, 17–20 February 2014
Available from: 2014-06-13 Created: 2014-06-13 Last updated: 2015-08-20Bibliographically approved

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Malusek, AlexandrMagnusson, MariaSandborg, MichaelAlm Carlsson, Gudrun

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Malusek, AlexandrMagnusson, MariaSandborg, MichaelAlm Carlsson, Gudrun
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Center for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Health SciencesDepartment of Radiation Physics
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