Time-based multiple organ functional images.
Computer generation of functional images has gained recognition as a valuable method of analyzing physiologic data. However, most mathematical models used to produce these images are frequency-based, which requires that the entire function be examined. Because frequency-based characteristics are only indirectly related to physiologic characteristics, this technique has inherent deficiencies that may be minimized through various manipulations. Our technique is to base such images on time-related features, rather than frequency-based. This technique deals directly with regional count rate behavior, which in turn reflects function. Benefits from such an approach include the ability to generate images from isolated portions of an event and the removal of sinusoidal models that may or may not accurately represent function. Our experience with such an approach to the generation of functional images of the heart, lungs, and liver has been highly successful.
D000328:Adult; D001249:Asthma / Q000175:diagnosis; D005355:Fibrosis / Q000175:diagnosis; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008099:Liver / Q000000981:diagnostic imaging*; D008168:Lung / Q000000981:diagnostic imaging*; D008297:Male; D012123:Pulmonary Ventilation; D011877:Radionuclide Imaging; D013997:Time Factors