High-resolution Image Reconstruction of ECT Region of Interest Based on Finite Element Simulation

doi:10.16182/j.issn1004731x.joss.23-0847

Abstract

Abstract:

High-resolution image reconstruction of interest region is one of the research hotspots of electrical capacitance tomography (ECT) technology. The ECT model with uniform electrode distribution only has a high sensitivity coefficient at the boundary position of the reconstructed field and is not suitable for imaging regions of interest. In order to improve the sensitivity distribution in the region of interest and improve image resolution, a high-resolution image reconstruction method of ECT region of interest based on finite element simulation is proposed, and the electrode distribution is optimized according to the conformal transformation theory. Simulation experiments are conducted, and the sensitivity matrices of uniform electrodes and optimized electrode distribution are substituted into the Tikhonov, Landweber, and ART algorithms. Reconstruction results show that the above method can effectively improve image reconstruction accuracy of interest region.

Key words: electrical capacitance tomography, finite element simulation, region of interest, sensitivity matrix, conformal transformation, electrode distribution

CLC Number:

TP391

Zhang Lifeng, Chen Da. High-resolution Image Reconstruction of ECT Region of Interest Based on Finite Element Simulation[J]. Journal of System Simulation, 2024, 36(8): 1823-1831.

Figures/Tables 15

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Table 1

Location information of regions of interest

感兴趣区域	\|OE\|	r_E	$θ$
Ⅰ	0.3	0.2	$π / 4$
Ⅱ	0.2	0.4	$7 π / 6$
Ⅲ	0.2	0.2	$5 π / 3$

Table 1

Fig. 10

Fig. 11

Fig. 12

Fig. 13

Table 2

Comparison of Uniform electrodes and Optimal electrodes in three algorithms

模型	评价指标	算法
		均匀电极			优化电极
		Tikhonov	Landweber	ART	Tikhonov	Landweber	ART
a	$E R$	1.240 3	1.221 6	1.070 2	0.829 1	0.798 0	0.579 1
a	C	0.385 1	0.401 3	0.423 5	0.723 7	0.744 5	0.823 1
b	$E R$	0.735 6	0.834 6	0.760 8	0.659 5	0.658 1	0.674 4
b	C	0.665 5	0.590 7	0.638 2	0.704 0	0.714 1	0.668 6
c	$E R$	1.088 0	1.518 6	1.194 1	1.438 0	1.241 3	1.037 7
c	C	0.318 9	0.291 7	0.194 1	0.385 3	0.443 2	0.553 8
d	$E R$	0.811 2	0.915 0	0.807 1	0.864 1	0.866 8	0.798 3
d	C	0.615 2	0.561 1	0.607 7	0.648 7	0.647 2	0.674 5
e	$E R$	1.232 9	1.191 5	1.107 8	1.466 6	1.216 7	1.059 6
e	C	0.319 4	0.331 6	0.359 1	0.375 1	0.427 5	0.442 8
f	$E R$	0.935 7	1.010 5	1.152 3	0.927 3	0.981 6	0.821 4
f	C	0.428 5	0.415 1	0.268 0	0.547 0	0.546 0	0.591 8
g	$E R$	1.221 2	1.344 6	1.106 1	0.983 1	1.013 1	0.975 7
g	C	0.125 3	0.166 1	0.259 8	0.363 6	0.369 8	0.346 1
h	$E R$	1.114 7	1.170 7	1.084 7	0.972 9	0.980 8	0.991 1
h	C	0.135 5	0.130 1	0.165 3	0.272 2	0.254 8	0.286 5

Table 2

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