Blood flow dynamic analyzer and its method, and image...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S128000, C382S173000, C382S172000, C382S154000, C358S296000, C358S461000, C600S512000

Reexamination Certificate

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07436990

ABSTRACT:
According to the present invention, a Fourier transformation is executed on a time-concentration curve for an inflow artery and a time-concentration curve for each tissue on the basis of a dynamically acquired tomogram. An inverse filter is then calculated from the Fourier-transformed time-concentration curve for the inflow artery. The Fourier-transformed time-concentration curve for each tissue is multiplied by the inverse filter to generate a transfer function for the tissue. The thus generated transfer function for each tissue is used to calculate biological function information. Thus, if biological function information on an organ to be analyzed is to be obtained from a tomogram provided by a computer tomograph, very quantitative biological function information can be obtained at a low contrast rate. In particular, it takes only a minimum calculation time to obtain biological function information.

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Three-Dimensional Blind Deconvolution of SPECT Images; Max Mignotte and Jean Meunier, IEEE 2000.
Leif Østergaard et al. (1996) “High Resolution Measurement of Cerebral Blood Flow Using Intravascular Tracer Bolus Passages. Part I: Mathematical Approach and Statistical Analysis”, High Resolution CBF Measurement I: pp. 715-725.

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