Abstract
By using positron emission tomography (PET) it is possible to noninvasively study distributions of subtances labeled with positron emitting isotopes (Fig. 1). A number of positron cameras with widely varying design parameters have been developed for this purpose. Some are designed to study activity distribution in different parts of the body. Others are dedicated to the brain. The data obtained are used to reconstruct images describing the distributions. These images are sometimes further processed to evaluate physiological parameters of special interest within specified regions of the image. In this case it is often necessary to use sequences of images to determine the time dependence of the distribution. Such a quantitative use of the image data demands a high degree of reproducibility and freedom from systematical errors. This, inturn, puts high demands on the positron camera design and on algorithms and correction schemes used in the data processing. The positron camera should also be designed to have high sensitivity and good spatial resolution. The aim of this chapter is to discuss how this can be done. In order to do this, the chapter is divided into three parts. The first part introduces some basic principles, the second part deals with necessary corrections and the third discusses some actual camera designs.
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Bohm, C., Eriksson, L., Bergstrőm, M. (1984). Positron Emission Tomography — Basic Principles, Corrections and Camera Design. In: Nalcioglu, O., Cho, ZH. (eds) Selected Topics in Image Science. Lecture Notes in Medical Informatics, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93253-3_4
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DOI: https://doi.org/10.1007/978-3-642-93253-3_4
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