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基于磁感应断层成像的颅内血肿生物阻抗定量方法。

A bio-impedance quantitative method based on magnetic induction tomography for intracranial hematoma.

机构信息

Institute of Biomedical and Electromagnetic Engineering, Shenyang University of Technology, Shenyang, China.

College of information and electronic technology, Jiamusi University, Jiamusi, China.

出版信息

Med Biol Eng Comput. 2020 Apr;58(4):857-869. doi: 10.1007/s11517-019-02114-7. Epub 2020 Feb 15.

DOI:10.1007/s11517-019-02114-7
PMID:32060798
Abstract

Magnetic induction tomography (MIT) is a non-invasive modality for imaging the complex conductivity (σ) or the magnetic permeability (μ) of a target under investigation. The critical issue in the clinical application of the detection of cerebral hemorrhage is the determination of intracranial hematoma status, including the location and volume of intracranial hematoma. In MIT, the reconstruction image is used to reflect intracranial hematoma. However, in medical applications where high resolutions are sought, image reconstruction is a time- and memory-consuming task because the associated inverse problem is nonlinear and ill-posed. The reconstruction image is the result of a series of calculations on the boundary detection value, and the color of the reconstructed image is the relative value. To quantitatively and faster represent intracranial hematoma and to provide a variety of characterization methods for MIT dynamic monitoring, one-dimensional quantitative indicators are established. Our experiment results indicate that there is a linear relationship between one-dimensional quantitative indicators. The change of the detection value can roughly determine the location of the hematoma. Graphical Abstract.

摘要

磁感应断层成像(MIT)是一种用于对目标的复杂电导率(σ)或磁导率(μ)进行成像的非侵入性方法。在脑出血检测的临床应用中,关键问题是确定颅内血肿状态,包括颅内血肿的位置和体积。在 MIT 中,重建图像用于反映颅内血肿。然而,在寻求高分辨率的医学应用中,图像重建是一项耗时且耗内存的任务,因为相关的逆问题是非线性和不适定的。重建图像是对边界检测值进行一系列计算的结果,而重建图像的颜色是相对值。为了更定量、更快地表示颅内血肿,并为 MIT 动态监测提供多种特征化方法,建立了一维定量指标。我们的实验结果表明,一维定量指标之间存在线性关系。检测值的变化可以大致确定血肿的位置。图摘要。

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本文引用的文献

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In vivo quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array.在新生仔猪模型中使用基于脑电图布局的电阻抗断层成像阵列对脑室内出血进行体内定量分析。
Physiol Meas. 2016 Jun;37(6):751-64. doi: 10.1088/0967-3334/37/6/751. Epub 2016 May 20.
2
Evaluation and real-time monitoring of data quality in electrical impedance tomography.电阻抗断层成像中数据质量的评估和实时监测。
IEEE Trans Med Imaging. 2013 Nov;32(11):1997-2005. doi: 10.1109/TMI.2013.2269867. Epub 2013 Jun 21.
3
Effects of local tissue conductivity on spherical and realistic head models.
局部组织电导率对球形和逼真头部模型的影响。
Australas Phys Eng Sci Med. 2010 Sep;33(3):233-42. doi: 10.1007/s13246-010-0027-3. Epub 2010 Aug 31.
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Modeling of the human skull in EEG source analysis.在 EEG 源分析中对人类颅骨进行建模。
Hum Brain Mapp. 2011 Sep;32(9):1383-99. doi: 10.1002/hbm.21114. Epub 2010 Aug 5.
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IEEE Trans Biomed Eng. 2010 Apr;57(4):914-21. doi: 10.1109/TBME.2009.2036733. Epub 2009 Nov 20.
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Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling.利用磁感应断层成像技术对脑内出血进行成像:数值模拟
Physiol Meas. 2009 Jun;30(6):S187-200. doi: 10.1088/0967-3334/30/6/S13. Epub 2009 Jun 2.
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The detection of brain oedema with frequency-dependent phase shift electromagnetic induction.
Physiol Meas. 2006 Jun;27(6):539-52. doi: 10.1088/0967-3334/27/6/007. Epub 2006 Apr 7.
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IEEE Trans Biomed Eng. 2001 Apr;48(4):484-91. doi: 10.1109/10.915715.