Terahertz Spectroscopic Early Diagnosis of Cerebral Ischemia in Rats
WANG Yu-ye1, 2, LI Hai-bin1, 2, JIANG Bo-zhou1, 2, GE Mei-lan1, 2, CHEN Tu-nan3, FENG Hua3, WU Bin4ZHU Jun-feng4, XU De-gang1, 2, YAO Jian-quan1, 2
1. Institute of Laser and Optoelectronics, School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
2. Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300072, China
3. Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing 400038, China
4. Science and Technology on Electronic Test & Measurement Laboratory, Qingdao 266555, China
Abstract：Cerebral ischemia is a common sudden cerebral surgical disease with a high lethality and disability rate. The rapid and accurate detection of cerebral ischemia is of great significance to the diagnosis and treatment of cerebral ischemia. Inthispaper, we performed spectroscopy on cerebrospinal fluid (CSF) and serum of rats with ischemia time of 0, 0.5, 1, 2, 4, 6 and 24 h respectively, based on attenuated total reflection terahertz time-domain spectroscopy (THz-TDS). The changes in absorption coefficient and refractive index of CSF and serum with different ischemic times were analyzed. The results showed that the absorption coefficient and refractive index of CSF and serum of rats with different ischemic times were somewhat different compared with the control group. Furthermore, according to the absorption coefficient of CSF and serum with different ischemic times, principal component analysis and machine learning algorithms were used to automatically classify and recognize the degree of cerebral ischemia in rats. Especially, the recognition accuracy of the support vector machine classification model based on the absorption coefficient of CSF is relatively high, reaching 89.3%. Combining terahertz spectroscopic detection of CSF and serum ofrats with machine learning algorithms provides a new and effective detection method for the early diagnosis of cerebral ischemia.
[1] Denes A, Vidyasagar R, Feng J, et al. Journal of Cerebral Blood Flow and Metabolism, 2007, 27(12): 1941.
[2] Chen L, Zhao N N，Xu S. Journal of International Medical Research, 2021, 49(3): 0300060520972601.
[3] Kidwell C S, Wintermark M, De S D A, et al. Stroke, 2013, 44(1): 73.
[4] Cremers Charlotte H P, Vos Pieter C, van der Schaaf Irene C, et al. Neuroradiology, 2015, 57(9): 897.
[5] Zhang H, Zhang B, Li S, et al. Clinical Neurology and Neurosurgery, 2013, 115(12): 2496.
[6] Gavdush A A, Chernomyrdin N V, Malakhov K M, et al. Journal of Biomedical Optics, 2019, 24(2): 027001.
[7] Wang Y Y, Wang G Q, Xu D G, et al. Biomedical Optics Express, 2020, 11(8): 4085.
[8] Shi W, Wang Y Z, Hou L, et al. Journal of Biophotonics, 2021, 14(1): e202000237.
[9] Zhang Y, Han J, Wang D, et al. Journal of Infrared Millimeter and Terahertz Waves, 2021, 42(7): 1.
[10] El-Shenawee M, Vohra N, Bowman T, et al. Biomedical Spectroscopy and Imaging, 2019, 8(1-2): 1.
[11] LI Zhao, MENG Kun, FU Chu-hua, et al(李 钊, 孟 坤, 傅楚华, 等). Chinese Journal of Neurosurgery(中华神经外科杂志), 2014, 30(6): 640.
[12] ZHANG Zhang, MENG Kun, ZHU Li-guo, et al(张 章, 孟 坤, 朱礼国, 等). Laser Technology(激光技术), 2016, 40(3): 372.
[13] WANG Yu-ye, SUN Zhong-cheng, XU De-gang, et al(王与烨, 孙忠成, 徐德刚, 等). Acta Optica Sinica(光学学报), 2020, 40(4): 0430001.
[14] BAO Xin-jie, LI Xue-yuan, ZUO Fu-xing, et al(包新杰, 李雪元, 左赋兴, 等). Acta Laboratorium Animalis Scientia Sinica(中国实验动物学报), 2016, 24(4): 395.
[15] Li L, Yu Q，Liang W M. Pathology-Research and Practice, 2018, 214(1): 174.
[16] Petzold A, Keir G, Warren J, et al. Neurodegenerative Diseases, 2007, 4(2-3): 185.
[17] Qiu Y, Sun J, Shang Y L, et al. Symmetry, 2021, 13(9): 1714.
[18] LIU Jun-xiu, DU Bin, DENG Yu-qiang, et al(刘俊秀, 杜 彬, 邓玉强, 等). Chinese Journal of Lasers(中国激光), 2019, 46(6): 0614039.
[19] Li K D, Chen X Q, Zhang R, et al. IEEE Transactions on Terahertz Science and Technology, 2020, 10(6): 617.
[20] HU Jun, LIU Yan-de, SUN Xu-dong, et al(胡 军, 刘燕德, 孙旭东, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2019, 39(11): 3566.
