Literature DB >> 32060798

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

Li Ke1, Wanni Zu2, Qiang Du1, Jia Chen1, Xiaodi Ding1,3.   

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.

Entities:  

Keywords:  Magnetic induction tomography; One-dimensional quantitative monitoring indicators; Position of hematoma

Mesh:

Substances:

Year:  2020        PMID: 32060798     DOI: 10.1007/s11517-019-02114-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  12 in total

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4.  Effects of local tissue conductivity on spherical and realistic head models.

Authors:  M R Bashar; Y Li; P Wen
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5.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
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6.  Evaluation and real-time monitoring of data quality in electrical impedance tomography.

Authors:  Yasin Mamatjan; Bartlomiej Grychtol; Pascal Gaggero; Jorn Justiz; Volker M Koch; Andy Adler
Journal:  IEEE Trans Med Imaging       Date:  2013-06-21       Impact factor: 10.048

7.  A method to solve the forward problem in magnetic induction tomography based on the weakly coupled field approximation.

Authors:  Bachir Dekdouk; Wuliang Yin; Christos Ktistis; David W Armitage; Anthony J Peyton
Journal:  IEEE Trans Biomed Eng       Date:  2009-11-20       Impact factor: 4.538

8.  The detection of brain oedema with frequency-dependent phase shift electromagnetic induction.

Authors:  César A González; Boris Rubinsky
Journal:  Physiol Meas       Date:  2006-04-07       Impact factor: 2.833

9.  Electrical impedance tomography: a method for monitoring regional lung aeration and tidal volume distribution?

Authors:  Inéz Frerichs; Peter A Dargaville; Taras Dudykevych; Peter C Rimensberger
Journal:  Intensive Care Med       Date:  2003-10-18       Impact factor: 17.440

10.  In vivo quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array.

Authors:  Te Tang; Michael D Weiss; Peggy Borum; Sergei Turovets; Don Tucker; Rosalind Sadleir
Journal:  Physiol Meas       Date:  2016-05-20       Impact factor: 2.833

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