Some Maximum Likelihood Methods Useful for the Regional Analysis of Dynamic PET Data on Brain Glucose Metabolism View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1999

AUTHORS

G. Pawlik , K. Herholz , K. Wienhard , C. Beil , W. D. Heiss

ABSTRACT

Impairment of regional energy metabolism in morphologically intact areas of the brain beyond the bounds of focal lesions has been of considerable interest to neurologists, since v. Monakow (1914) introduced the term “diaschisis” to denote the transient phenomenon of transneural depression of CNS function. However, despite decades of anatomical and physiological work, due to the complexity of neuronal interaction, the relationship between major topographical and functional characteristics of a focal pathology on the one side and the extent and severity of remote deactivation on the other remained largely obscure. It was only after the introduction of positron emission tomography (PET) as a diagnostic instrument in clinical neurology (Phelps et al., 1979; Reivich et al., 1979) that diaschisis could be noninvasively studied in three dimensions. Because of the close coupling between neuronal activity and local glucose consumption the 2(F-18)-fluoro-2-deoxy-D-glucose (FDG) method soon served as sort of a gold standard for the assessment of functional brain anatomy. But it did not take long until problems of quantitation became apparent — some unique to PET, some common the all nuclear medicine imaging techniques, others related to any diagnostic test. More... »

PAGES

298-309

Book

TITLE

Information Processing in Medical Imaging

ISBN

978-94-010-8392-8
978-94-009-4261-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-009-4261-5_22

DOI

http://dx.doi.org/10.1007/978-94-009-4261-5_22

DIMENSIONS

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