Evaluation of an OSEM-based PVC method for SPECT with clinical data

Kjell Erlandsson*, Benjamin Thomas, John Dickson, Brian F. Hutton

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    3 Citations (Scopus)

    Abstract

    Partial volume correction (PVC) can compensate for cross-talk between different anatomical regions in images from a functional imaging system with poor spatial resolution, such as PET or SPECT, by utilizing data from a high-resolution structural imaging modality, such as CT or MRI. We have developed a new PVC method for SPECT, and here we present an evaluation of this method using clinical data from [ 123I]-FP-CIT (DATscan) studies. PVC was performed based on MRI data, which were segmented and co-registered to the SPECT data. The correction was applied during OSEM reconstruction, taking into account the distance dependent resolution of the SPECT system. We compared our new method (OSEM-PVC) with OSEM reconstruction with resolution recovery (OSEM-RR). Qualitatively, OSEM-PVC resulted in images with visually improved structural definition and, quantitatively, it gave similar contrast as OSEM-RR but lower intra-region variability.

    Original languageEnglish
    Title of host publicationIEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
    Pages2687-2690
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States
    Duration: 30 Oct 20106 Nov 2010

    Other

    Other2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
    Country/TerritoryUnited States
    CityKnoxville, TN
    Period30/10/106/11/10

    Fingerprint

    Dive into the research topics of 'Evaluation of an OSEM-based PVC method for SPECT with clinical data'. Together they form a unique fingerprint.

    Cite this