抄録
The so-called compartmental analysis offers the theoretical basis of tracer kinetic studies which have found wide practical applications in the medical science as well asbehaviormetrics. The output(observation)of the tracer kinetic process is generally represented by a sum of decaying exponentials: q(t)=n Σ i=lAiexp(-ait), where n represents the number of compartments associated with the process. Thus, the compartmental analysis is a method by which the compartment number as well as other pertinent parameters are determined. One of the widely used methods for the estima of the number of compartments is due to Gardner. In practical application, however, method often suffers from “ error ripples ” in the spectra which are introduced in the process of Fourier conversion of the given output curve using only a finite sequences, and which obscure the true peaks corresponding to the decay constant ai. To suppress the error ripples, we have applied Hanning window function filter. To improve the resolution, we have also applied the digital filter which is designed using the maximum likelihood method and maximum entropy method. The experiments using test functions clearly indicate that the proposed method has advantage over the previous method in the improvement of resolution and suppression of noise.
