• DocumentCode
    686949
  • Title

    1-D interpolation method for the HRRT PET sinogram gap-filling

  • Author

    Peltonen, Sari ; Tuna, U. ; Ruotsalainen, U.

  • Author_Institution
    Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2013
  • fDate
    Oct. 27 2013-Nov. 2 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The ECAT High Resolution Research Tomograph (HRRT) (CTI PET Systems, Knoxville, TN, USA) is a positron emission tomography (PET) scanner producing PET sinogram data with gaps. These gaps are areas of nonexisting sinogram data formed due to the physical limitations of the HRRT scanner detector block configuration. We present a simple non-interative and fast 1-D cubic convolution based interpolation scheme to fill the gaps of the data. The scheme is based on the idea of shrinking and resizing of previously introduced gap-filling by using the slices in the direction of the radial samples. This method shrinks the data by taking the gaps away, resizes it by bicubic interpolation back to the original size and fills the gaps by the resized data. The new scheme is a symmetric version of it using 1-D cubic interpolation in the resizing. The results obtained by the proposed method are shown to be comparable to those of the current state of the art methods.
  • Keywords
    image segmentation; interpolation; medical image processing; positron emission tomography; 1D interpolation method; ECAT High Resolution Research Tomograph; HRRT PET sinogram gap-filling; HRRT scanner detector block configuration; PET sinogram data; fast 1D cubic convolution; positron emission tomography scanner; simple noninterative cubic convolution; Biomedical imaging; Discrete cosine transforms; Image reconstruction; Image segmentation; Interpolation; PSNR; Positron emission tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-0533-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2013.6829385
  • Filename
    6829385