• DocumentCode
    469903
  • Title

    Image processing method for analyzing cerebral blood-flow using SPECT and MRI

  • Author

    Kudo, Hiroyuki ; Nomura, Masahiro ; Asada, Takashi ; Takeda, Tohru

  • Author_Institution
    Univ. of Tsukuba, Tsukuba
  • Volume
    5
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    4015
  • Lastpage
    4021
  • Abstract
    We developed a new software FUSE (with an image processing method) to detect regions where deterioration of blood-flow is occurring from brain perfusion SPECT images. Unlike the known similar software such as SPM and 3D-SSP, FUSE does not use a database of SPECT images for normal volunteers. Instead, FUSE uses a 3-D MRI image of the same patient together with a SPECT perfusion image. This paper describes the image processing method in FUSE and shows some evaluation results. The results demonstrate that outputs of FUSE have a strong correlation to those of 3-D SSP. The unnecessity of normal database is a significant advantage of FUSE. We also apply the image processing method in FUSE to SPECT/PET image reconstruction using prior anatomical information.
  • Keywords
    biomedical MRI; brain; haemorheology; image reconstruction; medical image processing; positron emission tomography; single photon emission computed tomography; FUSE software; MRI; PET; SPECT; brain perfusion; cerebral blood flow; image processing; image reconstruction; Alzheimer´s disease; Dementia; Fuses; Image analysis; Image databases; Image processing; Image reconstruction; Magnetic resonance imaging; Positron emission tomography; Scanning probe microscopy; Cerebral blood-flow; Dementia; Fusion; Image processing; MRI; SPECT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4436994
  • Filename
    4436994