Study on detection of intracerebral hemorrhage based on frequency difference of permittivity
作者全名："Peng, Shixin; Wang, Xiaoshu; Jin, Gui; Wang, Feng; Zhu, Ji; Zhang, Xiaodong; Liu, Nan; Xu, Rui"
作者地址："[Peng, Shixin; Wang, Xiaoshu; Zhu, Ji; Zhang, Xiaodong; Xu, Rui] Chongqing Med Univ, Dept Neurosurg, Affiliated Hosp 1, Chongqing, Peoples R China; [Jin, Gui; Wang, Feng] Army Med Univ, Third Mil Med Univ, Coll Biomed Engn, Chongqing, Peoples R China; [Liu, Nan] Chongqing Red Cross Hosp, Jiangbei Dist Peoples Hosp, Dept Radiol, Chongqing, Peoples R China"
通信作者："Xu, R (通讯作者)，Chongqing Med Univ, Dept Neurosurg, Affiliated Hosp 1, Chongqing, Peoples R China.; Liu, N (通讯作者)，Chongqing Red Cross Hosp, Jiangbei Dist Peoples Hosp, Dept Radiol, Chongqing, Peoples R China."
来源：FRONTIERS IN PHYSICS
ESI学科分类：PHYSICS
WOS号：WOS:001134021900001
JCR分区：Q2
影响因子：1.9
年份：2023
卷号：11
期号：
开始页：
结束页：
文献类型：Article
关键词：intracerebral hemorrhage; ECT; permittivity; frequency-differential; capacitance
摘要："Introduction: Current detection of intracerebral hemorrhage (ICH), whether employing Electrical Capacitance Tomography (ECT) or other electrical imaging techniques, rely on time-difference measurements. The time-difference methods necessitate baseline measurements from the patient in a non-hemorrhagic state, which is impractical to obtain, rendering rapid detection of ICH unfeasible.Methods: This study introduces a novel approach that capitalizes on the distinct dispersion characteristics of the permittivity in brain tissue and the spectral variance of the permittivity between blood and other brain components. Specifically, the frequency-dependent variations in the permittivity are employed to achieve absolute detection of ICH, thereby eliminating the need for non-hemorrhagic baseline data. The methodology entails identification of two frequency points that the frequency-dependent variation in the permittivity at these two frequency points manifest the maximal difference between blood and other brain tissues. Subsequently, this permittivity differential at the two identified frequency points is utilized for hemorrhage detection. Experimental measurements were conducted using an impedance analyzer and a parallel plate capacitor to capture the capacitance in four single-component substances-distilled water, sheep blood, isolated pig fat, and isolated pig brain-as well as three mixed blood compounds-distilled water enveloping sheep blood, pig fat encapsulating sheep blood, and pig brain surrounding sheep blood-across a frequency range of 10 kHz to 20 MHz.Results: The results show that in different frequency bands, it is indeed possible to distinguish single-component substances from mixed substances by the frequency difference of capacitance variation. Comparative analysis reveals that the 1 MHz to 5 MHz frequency range is most effective for detecting blood in distilled water. For blood detection in pig fat, a 10 kHz to 1 MHz frequency range is identified as optimal, while a 10 kHz to 0.5 MHz frequency range is advantageous for blood detection in pig brain tissue.Discussion: The findings confirm that absolute detection of ICH is achievable through frequency-dependent variations in the permittivity. However, this necessitates the identification of the frequency band manifesting the largest difference of frequency-dependent variation between single-component and mixed substances. The study acknowledges limitations primarily due to the use of anticoagulant-altered sheep blood, which exhibits permittivity divergent from those of natural blood. Additionally, the in vitro pig fat and pig brain samples, having been subjected to freeze-thaw cycles, also demonstrate permittivity unrepresentative of in vivo tissue."
基金机构：The 2023 Chongqing Technology Innovation and Application Development Special Science and Technology Assistance to Tibet and Xinjiang Project [CSTB2023TIAD-KPX0001]; The 2023 Natural Science Foundation of Xizang Autonomous Region [XZ2023ZR-ZY67 (Z)]
基金资助正文："The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the 2023 Chongqing Technology Innovation and Application Development Special Science and Technology Assistance to Tibet and Xinjiang Project (CSTB2023TIAD-KPX0001), and 2023 Natural Science Foundation of Xizang Autonomous Region [XZ2023ZR-ZY67 (Z)]."
