Techniques for Parametric Imaging

作者: David Dagan Feng , Lingfeng Wen , Stefan Eberl

DOI: 10.1016/B978-012373583-6.50010-4

关键词:

摘要: Publisher Summary Medical imaging has become an important component of modern medicine in many areas, such as detecting abnormalities, staging progression disease, and guiding surgery, through noninvasive visualization internal structures or functional changes the human body. can be classified into two broad categories: structural imaging. In imaging, injected tracer is transported throughout body by circulation, following behavior a targeted dynamic process without affecting normal physiologic process. Kinetic modeling highly versatile tool for analyzing experiments living systems, with application branches biology. Parametric images derived from studies enable quantitative estimates biochemical processes Functional not only provides unique information related to vivo but also capable deriving parameters that used diagnosis disorders, assessment treatment, evaluation novel drug. Parameter estimation discipline tools mathematically phenomena constants appearing these models. Diverse approaches are available parameter estimation, autoradiographic technique, SUV method, integrated projection weighted spectral analysis, graphic analysis methods, linear least squares parametric image reconstruction method. There few methods—which avoid frequent invasive blood sampling—and image-derived input function, reference tissue model , population-based cascaded approaches.

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