• DocumentCode
    3535661
  • Title

    Comparison of 3D-RP and 3D-OPOSEM reconstructions of the ECAT HRRT PET data

  • Author

    Tuna, Uygar ; Johansson, Jarkko ; Ruotsalainen, Ulla

  • Author_Institution
    Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    3511
  • Lastpage
    3515
  • Abstract
    Positron emission tomography (PET) is a powerful tool for quantifying the physiological processes through dynamic PET studies. In PET reconstruction, statistical image reconstruction methods such as ordered subset expectation maximization (OSEM) are widely used. However, it has been shown that iterative reconstruction methods produce bias for low count statistics data which is typical in dynamic PET studies. This bias problem has been published previously also for the ECAT high resolution research tomograph (HRRT, CTI PET Systems, Knoxville, TN, USA) PET scanner. Alternatively, dynamic PET data can be reconstructed analytically (for example by using 3D Reprojection, 3D-RP method). In this study, we compare 3D-RP and 3D-OPOSEM reconstructed dynamic HRRT PET images. For the 3D-RP reconstruction, the missing parts (caused by the octagonal detector design in the HRRT gantry) were estimated by the 3D DCT-domain gap-filling with a dedicated DCT-domain filter and the 3D transradial bicubic interpolation methods. We compared the reconstruction methods with two scans of one subject performed with the [11C]-raclopride tracer. We assessed the methods visually by calculating the ratio images between the binding potential images obtained by different reconstruction methods. Moreover, regional time activity curves (TACs) and areas under the TACs of the employed reconstruction schemes were compared. We observed that for the cerebellum, caudate and putamen regions, 3D-RP reconstruction produced higher activity concentration than the 3D-OPOSEM reconstructions. On the other hand, the results obtained by the 3D-RP after different gap-filling methods were similar.
  • Keywords
    brain; carbon; data analysis; expectation-maximisation algorithm; image reconstruction; interpolation; medical image processing; positron emission tomography; radioactive tracers; 3D DCT-domain gap-filling; 3D transradial bicubic interpolation method; 3D-OPOSEM image reconstruction; DCT-domain filter; ECAT data; HRRT data; PET data; [11C]-raclopride tracer; caudate; cerebellum; high resolution research tomograph; ordered subset expectation maximization; putamen region; Calibration; Discrete cosine transforms; Image reconstruction; Interpolation; Positron emission tomography; Reconstruction algorithms; Three dimensional displays; ROI; binding potential image; gap filling; high resolution research tomograph (ECAT HRRT); positron emission tomography; quantitative evaluation; time activity curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874460
  • Filename
    5874460