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Atlas of Cardiac Positron Emission Tomography

  • Johannes Czernin
  • Heinrich R. Schelbert
Part of the Atlases of Clinical Nuclear Medicine book series (ATLASES)

Abstract

Positron emission tomography (PET) surpasses the capabilities of conventional radionuclide imaging techniques including single photon emission computed tomography (SPECT) for several reasons: a) a virtually unlimited number of positron emitting tracers of biological substrates b) the ability to derive regional activity concentrations directly from the cross-sectional PET images as a result of appropriately corrected photon attenuation c) the visualization of considerable anatomical detail and of subtle differences in tracer concentrations due to the high spatial and contrast resolution and d) the ability to measure rapidly changing tracer tissue concentrations because of the high temporal resolution. Taken together, these features permit the in vivo application of tracer kinetic principles. Consequently, regional functional processes can be quantified noninvasively so that PET has become a noninvasive biochemical assay technique for probing regional functional processes in human myocardium. While a powerful research tool, PET also contributes substantially to the diagnosis of cardiac disease and for determining its severity. Foremost among these clinical applications are a) the detection of coronary artery disease and b) the assessment of myocardial viability. This chapter describes the technical aspects of currently employed PET approaches in clinical cardiology, including manipulation, interpretation, and quantitative analysis of images of myocardial blood flow and of glucose metabolism, and the integration of PET findings into the overall diagnostic process.

Keywords

Positron Emission Tomography Myocardial Blood Flow Pharmacologic Stress Chronic Coronary Artery Disease Cardiac Positron Emission Tomography 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1994

Authors and Affiliations

  • Johannes Czernin
  • Heinrich R. Schelbert

There are no affiliations available

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