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  • http://hdl.handle.net/10402/era.25307
  • FACTOR ANALYSIS WITH PRIOR INFORMATION - APPLICATION TO DYNAMIC PET IMAGING
  • Lee, Dong-Chang
  • English
  • Factor Analysis
    Dynamic PET Imaging
  • Jan 30, 2012 9:18 AM
  • Thesis
  • English
  • Adobe PDF
  • 15973835 bytes
  • The conventional region-of-interest (ROI) method to evaluate dynamic Positron Emission Tomography (PET) images can be complex, time consuming, inaccurate (e.g. partial volume effect), and operator-dependent. To overcome these problems, an optimization-based factor analysis of dynamic structures (FADS) technique with prior information is proposed and validated using a computer-based simulation. The technique is then applied to eight sets of [11C]-Dihydratetrabenazine (DTBZ) dynamic PET volumes to decompose the datasets into factor volumes (FV's) that represent the striatum and the non-striatum tissues of the brain, and associated factor curves (FC's), describing the uptake and the clearance rates (activity per unit time) of the DTBZ radiopharmaceutical for the two tissue types. The extracted FV's and FC's are used for stratifying the healthy subjects from patients with early Parkinson's disease. In conclusion, the proposed FADS technique has the potential to significantly aid in the review process for evaluating dynamic datasets by clinicians.
  • Master's
  • Master of Science
  • Department of Oncology
  • Medical Physics
  • Spring 2012
  • Riauka, Terence (Oncology)
  • Robinson, Don (Oncology)
    Jans, Hans (Oncology)
    Wilman, Alan (Biomedical Engineering)