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Evaluation of the Response Function and Its Space Dependence in Chirp Pulse Microwave Computed Tomography (CP-MCT)
Michio MIYAKAWA Kentaroh ORIKASA Mario BERTERO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2002/01/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Measurements and Visualization Technology of Biological Information)
Category: Measurement Technology
microwave computed tomography, chirp pulse signal, numerical computation, point spread function, image restoration,
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In Chirp-Pulse Microwave Computed Tomography (CP-MCT) the images are affected by the blur which is inherent to the measurement principle and is described by a space-variant Point Spread Function (PSF). In this paper we investigate the PSF of CP-MCT including the space dependence both experimentally and computationally. The experimental evaluation is performed by measuring the projections of a target consisting of a thin low-loss dielectric rod surrounded by a saline solution and placed at various positions in the measuring region. On the other hand, the theoretical evaluation is obtained by computing the projections of the same target via a numerical solution of Maxwell's equations. Since CP-MCT uses a chirp signal, the numerical evaluation is carried out by the use of a FD-TD method. The projections of the rod could be obtained by computing the field during the sweep time of the chirp signal for each position of the receiving antenna. Since this procedure is extremely time consuming, we compute the impulse response function of the system by exciting the transmitting antenna with a wide-band Gaussian pulse. Then the signal transmitted in CP-MCT is obtained by computing the convolution product in time domain of the input chirp pulse with the impulse response function of the system. We find a good agreement between measured and computed PSF. The rationality of the computed PSF is verified by three distinct ways and the usefulness of this function is shown by a remarkable effect in the restoration of CP-MCT images. Knowledge on the space-variant PSF will be utilized for more accurate image deblurring in CP-MCT.