Reconstruction of linear kinetic parameters directly from projection PET data

Using Linear Time-Invariant System Theory to Estimate Kinetic Parameters Directly from Projection Me - Nuclear Science, IEEE Transactions on

It is common practice to estimate kinetic parameters from dynamically acquired tomographic data by first reconstructing a dynamic sequence of three-dimensional reconstructions and then fitting the parameters to time activity curves generated from the time-varying reconstructed images. However, in SPECT, the pharmaceutical distribution can change during the acquisition of a complete tomographic ...

Parametric image reconstruction using spectral analysis of PET projection data.

Spectral analysis is a general modelling approach that enables calculation of parametric images from reconstructed tracer kinetic data independent of an assumed compartmental structure. We investigated the validity of applying spectral analysis directly to projection data motivated by the advantages that: (i) the number of reconstructions is reduced by an order of magnitude and (ii) iterative r...

Parametric reconstruction of kinetic PET data with plasma function estimation

It is often necessary to analyze the time response of a tracer. A common way of analyzing the tracer time response is to use a compartment model and estimate the model parameters. The model parameters are generally physiologically meaningful and called “kinetic parameters”. In this paper, we simultaneously estimate both the kinetic parameters at each voxel and the model-based plasma input funct...

Kinetic Parameters from Thermogravimetric Data

The "differential" method of Achar, Brindley and Sharp (ABS) and the "integral" one of Coats and Redfern (CR) are applied to the dehydration of BaBr2-H20 and HCOOLiH20 and to the thermal decomposition of Pb(SCN)2, and the kinetic parameters so obtained are compared with those deduced isothermally. The results of the ABS method, at the lowest heating rate (q = 1.2 K min— '), agree well with the ...

Image Reconstruction from Incomplete Data