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    Development and validation of a variance model for dynamic PET: uses in fitting kinetic data and optimizing the injected activity.

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    Authors
    Walker, M
    Matthews, J
    Asselin, M
    Watson, C
    Saleem, A
    Dickinson, C
    Charnley, N
    Julyan, Peter J
    Price, P
    Jones, T
    Affiliation
    School of Cancer and Enabling Sciences, Wolfson Molecular Imaging Centre, MAHSC, The University of Manchester, M20 3LJ, UK. matthew.walker@manchester.ac.uk
    Issue Date
    2010-11-21
    
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    Abstract
    The precision of biological parameter estimates derived from dynamic PET data can be limited by the number of acquired coincidence events (prompts and randoms). These numbers are affected by the injected activity (A(0)). The benefits of optimizing A(0) were assessed using a new model of data variance which is formulated as a function of A(0). Seven cancer patients underwent dynamic [(15)O]H(2)O PET scans (32 scans) using a Biograph PET-CT scanner (Siemens), with A(0) varied (142-839 MBq). These data were combined with simulations to (1) determine the accuracy of the new variance model, (2) estimate the improvements in parameter estimate precision gained by optimizing A(0), and (3) examine changes in precision for different size regions of interest (ROIs). The new variance model provided a good estimate of the relative variance in dynamic PET data across a wide range of A(0)s and time frames for FBP reconstruction. Patient data showed that relative changes in estimate precision with A(0) were in reasonable agreement with the changes predicted by the model: Pearson's correlation coefficients were 0.73 and 0.62 for perfusion (F) and the volume of distribution (V(T)), respectively. The between-scan variability in the parameter estimates agreed with the estimated precision for small ROIs (<5 mL). An A(0) of 500-700 MBq was near optimal for estimating F and V(T) from abdominal [(15)O]H(2)O scans on this scanner. This optimization improved the precision of parameter estimates for small ROIs (<5 mL), with an injection of 600 MBq reducing the standard error on F by a factor of 1.13 as compared to the injection of 250 MBq, but by the more modest factor of 1.03 as compared to A(0) = 400 MBq.
    Citation
    Development and validation of a variance model for dynamic PET: uses in fitting kinetic data and optimizing the injected activity. 2010, 55 (22):6655-72 Phys Med Biol
    Journal
    Physics in Medicine and Biology
    URI
    http://hdl.handle.net/10541/120130
    DOI
    10.1088/0031-9155/55/22/005
    PubMed ID
    20962367
    Type
    Article
    Language
    en
    ISSN
    1361-6560
    ae974a485f413a2113503eed53cd6c53
    10.1088/0031-9155/55/22/005
    Scopus Count
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