Format

Send to:

Choose Destination
See comment in PubMed Commons below
IEEE Nucl Sci Symp Conf Rec (1997). 2008;4774103:3625-3628.

Direct 4D List Mode Parametric Reconstruction for PET with a Novel EM Algorithm.

Author information

  • 1PET center, Yale University, New Haven, CT 06520 USA.

Abstract

We present a direct method for producing images of kinetic parameters from list mode PET data. The time-activity curve for each voxel is described by a one-tissue compartment, 2-parameter model. Extending previous EM algorithms, a new spatiotemporal complete data space was introduced to optimize the maximum likelihood function. This leads to a straightforward parametric image update equation with moderate additional computation requirements compared to the conventional algorithm. Qualitative and quantitative evaluations were performed using 2D (x,t) and 4D (x,y,z,t) simulated list mode data for a brain receptor study. Comparisons with the two-step approach (frame-based reconstruction followed by voxel-by-voxel parameter estimation) show that the proposed method can lead to accurate estimation of the parametric image values with reduced variance, especially for the volume of distribution (V(T)).

PMID:
20628540
[PubMed]
PMCID:
PMC2901873
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for PubMed Central
    Loading ...
    Write to the Help Desk