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  • 1.
    Magnusson, Maria
    et al.
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology. Linköping University, Faculty of Health Sciences.
    Malusek, Alexandr
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences.
    Muhammad, Arif
    Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Health Sciences.
    Alm Carlsson, Gudrun
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics UHL.
    Determination of  Quantitative Tissue Composition by Iterative Reconstruction on 3D DECT Volumes2011Conference paper (Refereed)
  • 2.
    Magnusson, Maria
    et al.
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Health Sciences. Linköping University, The Institute of Technology.
    Malusek, Alexandr
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences.
    Muhammad, Arif
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences.
    Alm Carlsson, Gudrun
    Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.
    Iterative Reconstruction for QuantitativeTissue Decomposition in Dual-Energy CT2011In: Proceedings of the 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. / [ed] Anders Heyden,Fredrik Kahl, Springer Berlin/Heidelberg, 2011, p. 479-488Conference paper (Refereed)
    Abstract [en]

    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 dualenergy 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.

  • 3.
    Muhammad, Arif
    et al.
    Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Health Sciences.
    Skorin-Kapov, Nina
    Spanish Air Force Acad, Spain.
    Wosinska, Lena
    KTH Royal Institute Technology, Sweden.
    Manycast and Anycast Routing for Replica Placement in DataCenter Networks2015In: ECOC 2015 41ST EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION, IEEE , 2015Conference paper (Refereed)
    Abstract [en]

    Inter-datacenter networks need to support datacenters communication with the end-users, as well as content replication and synchronization between datacenters. This paper presents an integrated routing and replica placement strategy for WDM inter-datacenter networks resulting in reduced overall network resource consumption.

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