@inproceedings{b2358a16b1a645c1ad5047f708739ad1,
title = "Performance analysis of anti-noise interference of hemorrhagic cerebral stroke image reconstruction in chirp-pulse microwave CT (CP-MCT)",
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.",
keywords = "Anti-noise interference performance, Chirp-pulse microwave CT, FBP algorithm, HCS brain images reconstruction, Radon projection",
author = "Sijie Li and Heng Liu",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 11th International Conference on Digital Image Processing, ICDIP 2019 ; Conference date: 10-05-2019 Through 13-05-2019",
year = "2019",
doi = "10.1117/12.2540055",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jenq-Neng Hwang and Xudong Jiang",
booktitle = "Eleventh International Conference on Digital Image Processing, ICDIP 2019",
address = "United States",
}