Partial volume correction for image-generated arterial input functions

Daniel Rodriguez Gutierrez, John Chiverton, Kevin Wells, Mike Partidge

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We propose a method for Partial Volume correction and intensity recovery that models blood vessels as small cylinders of known diameter. We use a Bayesian classifier that explicitly models the effects of the point spread function on these cylinders. Although the method requires prior knowledge of the cylinder/arterial width, there is no requirement for any registration. A further advantage is that Region Of Interest (ROI) definition can be limited to only a few axial slices, thus minimizing time averaging. Furthermore, ROI selection requires only approximate placement around the target artery, encompassing both artery and background tissue, so that recovered data values are not operator-dependent. We present results for classifier performance on simulated phantom data of hot cylindrical inserts in a warm background with different contrast to noise ratios.
    Original languageEnglish
    Title of host publicationIEEE 2006 Nuclear science symposium conference record
    EditorsBernard Phlips
    Place of PublicationPiscataway
    PublisherIEEE
    Pages2091 - 2094
    Volume4
    ISBN (Electronic)1424405610
    ISBN (Print)1424405602
    DOIs
    Publication statusPublished - 2006
    Event15th International workshop on room-temperature semiconductor x- and gamma-ray detectors - California, San Diego, United Kingdom
    Duration: 29 Oct 20064 Nov 2006

    Conference

    Conference15th International workshop on room-temperature semiconductor x- and gamma-ray detectors
    CountryUnited Kingdom
    CitySan Diego
    Period29/10/064/11/06

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