Literature DB >> 12886150

Accurate determination of metabolic rates from dynamic positron emission tomography data with very-low temporal resolution.

Ralph Buchert1, Jörg van den Hoff, Janos Mester.   

Abstract

PURPOSE: The graphical approach is widely used for the pixelwise determination of local metabolic rate of glucose from dynamic positron emission tomography (PET) data. In its conventional implementation, measured integrals over time frames are used to approximate instantaneous tracer concentrations at midframe times ("midframe approach"). This is justified in case of high temporal resolution of the PET measurement; that is, if scan protocols with a large number of short frames are used. This requires fast data handling and large amounts of memory. Cardiac gating and three-dimensional (3D) acquisition of dynamic studies is hardly possible with this approach. Therefore, a new variant of the graphical method is proposed which can be used with a very low number of rather long frames.
METHODS: An operational equation of the graphical method was derived which uses measured time integrals only and, thus, avoids the systematic errors of the midframe approximation. This "integral approach" was evaluated in computer simulations based on experimental data.
RESULTS: The integral approach enables the use of protocols with 3 frames only without compromising accuracy of the derived metabolic rates whereas the midframe approach leads to bias of about 10% to 20% for these protocols. Furthermore, test-retest stability can significantly be improved when using the integral approach.
CONCLUSION: The integral approach to the graphical evaluation of dynamic PET data yields accurate and precise results using scan protocols with down to only 3 frames. This can be relevant to gating and/or 3D acquisition of dynamic studies. The integral approach is applied most naturally whenever the input function is derived from the dynamic PET data.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12886150     DOI: 10.1097/00004728-200307000-00026

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  2 in total

1.  Cumulative input function method for linear compartmental models and spectral analysis in PET.

Authors:  Urban Simoncic; Robert Jeraj
Journal:  J Cereb Blood Flow Metab       Date:  2010-09-01       Impact factor: 6.200

2.  Dual time point based quantification of metabolic uptake rates in 18F-FDG PET.

Authors:  Jörg van den Hoff; Frank Hofheinz; Liane Oehme; Georg Schramm; Jens Langner; Bettina Beuthien-Baumann; Jörg Steinbach; Jörg Kotzerke
Journal:  EJNMMI Res       Date:  2013-03-13       Impact factor: 3.138

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.