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14 August 2019 Performance analysis of anti-noise interference of hemorrhagic cerebral stroke image reconstruction in chirp-pulse microwave CT (CP-MCT)
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111790G (2019) https://doi.org/10.1117/12.2540055
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
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.
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Sijie Li and Heng Liu "Performance analysis of anti-noise interference of hemorrhagic cerebral stroke image reconstruction in chirp-pulse microwave CT (CP-MCT)", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111790G (14 August 2019); https://doi.org/10.1117/12.2540055
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