A bio-impedance quantitative method based on magnetic induction tomography for intracranial hematoma.
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 hemato...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 4; pp. 857 - 870 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142718785&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142718785 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2020 vid: 58 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142718785 142718785 NLM32060798 10.1007/s11517-019-02114-7 NLM32060798 142718785 ppf: 857 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A bio-impedance quantitative method based on magnetic induction tomography for intracranial hematoma. aug: au: Ke, Li Zu, Wanni Du, Qiang Chen, Jia Ding, Xiaodi affil: Institute of Biomedical and Electromagnetic Engineering, Shenyang University of Technology, Shenyang, China sug: subj: Intracranial Hemorrhage Image Processing, Computer Assisted Methods Tomography Methods Electric Impedance Computer Simulation Polysaccharides Phantoms, Imaging Scales ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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