The use of principal components in the quantitative analysis of gamma camera dynamic studies

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Abstract
The reduction of the enormous quantity of data in a radionuclide dynamic study to a few diagnostic parameters presents a problem. Conventional methods of data reduction using regions-of-interest or functional images have several defects which potentially limit their usefulness. Using a principal components analysis of the elemental curves representing the change of activity with time in each pixel, followed by a further factor analysis, extracting the fundamental functional changes of activity which underly the observed variation of activity is possible. Using this analysis on a dynamic human brain scan implies the 3 fundamental phases of activity represent activity in the arterial system, the venous system and diffusion of tracer into the tissues.

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