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Performance analysis of anti-noise interference of hemorrhagic cerebral stroke image reconstruction in chirp-pulse microwave CT (CP-MCT)
Author(s): Sijie Li; Heng Liu
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Paper Abstract

CP-MCT is a novel microwave imaging technology, which is harmless to human body and low cost. This paper attempts to apply it to the detection of hemorrhagic cerebral stroke (HCS) by means of simulation, and try to analyze its robustness. Firstly, we build four realistic HCS brain images whose voxel value is the brain tissue attenuation constant at 2GHz. Then we calculate the Radon projection values of them and superimpose noises with different signal-to-noise ratio (SNR) to simulate the propagation of signal in different channels. Secondly, we use filtered back projection (FBP) algorithm to reconstruct the HCS brain images and calculate the Root Mean Square Error (RMSE) values between the reconstructed images and the corresponding original images to evaluate image reconstruction performance. Results show that the RMSE values are larger and decrease significantly with the increasing of SNR when the SNR is below 30dB, and when SNR is above 30dB, the RMSE values are around 8NP/m.

Paper Details

Date Published: 14 August 2019
PDF: 6 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790G (14 August 2019); doi: 10.1117/12.2540055
Show Author Affiliations
Sijie Li, Beijing Institute of Technology (China)
Heng Liu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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