Format

Send to:

Choose Destination
See comment in PubMed Commons below
J Cereb Blood Flow Metab. 2010 Apr;30(4):816-26. doi: 10.1038/jcbfm.2009.245. Epub 2009 Dec 9.

Simultaneous estimation of input functions: an empirical study.

Author information

  • 1Department of Biostatistics, Columbia University, Mailman School of Public Health, 722 W. 168th St., 6th floor, New York, NY 10032, USA. todd.ogden@columbia.edu

Abstract

In neuroreceptor mapping, methods for the estimation of distribution volume require determination of a metabolite-corrected arterial input function. In application, this may be accomplished by collecting arterial blood samples during scanning, adjusting these measurements according to a separate metabolite analysis, and then modeling the resulting concentration data. Although many groups do this routinely, it is invasive and requires considerable effort. Furthermore, both the plasma and the metabolite data are noisy, and thus estimation of kinetic parameters can be affected by this variability. One promising alternative to full-input function modeling is the simultaneous estimation (SIME) approach, in which kinetic parameters and common input function parameters are estimated using results obtained from several regions at once. We investigate the performance of this approach on data from four different radioligands, using various kinetic models, comparing the results with those obtained by estimation using full-input function modeling. Results indicate that SIME provides a promising alternative for all the radioligands considered.

PMID:
19997119
[PubMed - indexed for MEDLINE]
PMCID:
PMC2949176
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Write to the Help Desk