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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Large Scale Simplex Optimisation to Accelerate Kinetic Analysis
verfasst von : Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose
Erschienen in: Computational Methods for Molecular Imaging
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Abstract
Although Positron Emission Tomography images are implicitly dynamic and the temporal variation of tracers often holds relevant information, kinetic analysis of the data is seldom performed due to its computational expense, especially when flexible ODE-based formulations are used. Kinetic analysis at the voxel scale remains expensive even with recent formulations relying on the closed form summation of convolution of exponentials. This work proposes a scheme to accelerate the kinetic analysis of large populations of time activity curves, by selectively sharing tailored simplex optimisations between them. Experiments on synthetic and real data demonstrate that the approach not only accelerates kinetic analysis, but maintains equivalent or better fitting accuracy than existing approaches that optimise time activity curves individually.