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A Fourier series transformation method was developed to compute blood transit time distributions from indicator-dilution curves in mongrel dogs, reflecting vascular responses to various drugs.
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A novel mathematical method using Fourier series transformation successfully computes blood transit time distributions in coronary and renal circulations from indicator-dilution curves in a canine model.
A method has been developed for computing the distribution of blood transit times (transfer function) from indicator-dilution curves recorded from upstream (aorta) and downstream (pulmonary artery, renal vein and coronary sinus) circulatory sites in mongrel dogs. The method employs a Fourier series transformation of the upstream and downstream curves and yields a time-domain transfer function which is independent of recirculating dye particles. Discontinuities, created in the upstream and downstream indicator curves by the termination of sampling (120 sec postinjection), are removed by a tail terminating procedure which employs normal and lagged normal density distributions. The transfer functions computed for the trans-renal and trans-coronary circulations and their relationship to the systemic circulation dispersion patterns are shown under control conditions (pentobarbital anesthesia) and during intra-aortic infusion of angiotensin, acetylcholine and adenosine triphosphate. These distribution patterns reflect the response of the vascular system to the drugs and demonstrate, to a limited extent, the role which different vascular beds have in the cardiovascular mixing process.
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Coulam et al. (1966) studied Coronary and renal circulation in mongrel dogs. Intra-aortic infusion of angiotensin, acetylcholine and adenosine triphosphate vs. Control conditions (pentobarbital anesthesia) was evaluated on Distribution of blood transit times (transfer function). A Fourier series transformation method was developed to compute blood transit time distributions from indicator-dilution curves in mongrel dogs, reflecting vascular responses to various drugs.
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