Direct reconstruction of PET receptor binding parametric images using a simplified reference tissue model

Guobao Wang; Jinyi Qi

doi:10.1117/12.813910

13 March 2009 Direct reconstruction of PET receptor binding parametric images using a simplified reference tissue model

Guobao Wang, Jinyi Qi

Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72580V (2009) https://doi.org/10.1117/12.813910
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Molecular imaging using dynamic positron emission tomography (PET) can provide in vivo images of physiologically or biochemically important parameters. Direct reconstruction of parametric images from dynamic PET sinograms is statistically more efficient than the conventional indirect methods, which perform image reconstruction and kinetic modeling in two separate steps. Most existing direct reconstruction methods are derived based on a known blood input function. This paper presents a direct reconstruction algorithm using a simplified reference tissue model, which does not require a blood input function. We have derived a minorization-maximization algorithm to find the penalized maximum likelihood solution. Computer simulations show that the proposed method has better bias-variance tradeoff than the conventional indirect method for estimating parametric images of receptor binding potential using dynamic PET.

Citation Download Citation

Guobao Wang and Jinyi Qi "Direct reconstruction of PET receptor binding parametric images using a simplified reference tissue model", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72580V (13 March 2009); https://doi.org/10.1117/12.813910

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