Abstract
This article describes the application of basic knowledge engineering principles to the design of automated synthesis equipment for radiopharmaceuticals used in Positron Emission Tomography (PET). Before discussing knowledge programming, an overview of the development of automated radiopharmaceutical synthesis systems for PET will be presented. Since knowledge systems will rely on information obtained from machine transducers, a discussion of the uses of sensory feedback in today’s automated systems follows. Next, the operation of these automated systems is contrasted to radiotracer production carried out by chemists, and the rationale for and basic concepts of knowledge-based programming are explained. Finally, a prototype knowledge-based system supporting automated radiopharmaceutical manufacturing of 18FDG at Brookhaven National Laboratory (BNL) is described using lstClass, a commercially available PC-based expert system shell.
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Alexoff, D.L. (1991). Knowledge-Based Automated Radiopharmaceutical Manufacturing for Positron Emission Tomography. In: Emran, A.M. (eds) New Trends in Radiopharmaceutical Synthesis, Quality Assurance, and Regulatory Control. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0626-7_32
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DOI: https://doi.org/10.1007/978-1-4899-0626-7_32
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