Abstract
One of the important characteristics of positron emission tomography (PET) is the ability to quantify metabolic function in vivo. To achieve this goal, radioactivity data (activity per volume) measured by PET is transformed into metabolic parameters of interest by using the simultaneously measured radioactivity in blood and an appropriate physiological or biochemical model of tracer uptake and distribution. PET data (sinograms) are often collected into specific time periods called frames. The PET system sums coincidence counts within a frame and reconstructs these data into images of radioactivity concentration using dedicated software. This chapter describes different methods for image reconstruction of PET data and presents further preprocessing procedures, such as attenuation and scatter correction, which are necessary for accurate determination of the measured radioactivity concentration.
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Herzog, H., Hichwa, R.D. (2000). Image reconstruction, quantification and standard uptake value. In: Wieler, H.J., Coleman, R.E. (eds) PET in Clinical Oncology. Steinkopff, Heidelberg. https://doi.org/10.1007/978-3-642-57703-1_3
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DOI: https://doi.org/10.1007/978-3-642-57703-1_3
Publisher Name: Steinkopff, Heidelberg
Print ISBN: 978-3-642-63329-4
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