Literature DB >> 24759274

Electrical tissue property imaging at low frequency using MREIT.

Jin Keun Seo, Eung Je Woo.   

Abstract

The tomographic imaging of tissue's electrical properties (e.g., conductivity and permittivity) has been greatly improved by recent developments in magnetic resonance (MR) imaging techniques, which include MR electrical impedance tomography (MREIT) and electrical property tomography. When the biological material is subjected to an external electric field, local changes in its electrical properties become sources of magnetic field perturbations, which are detectable by the MR signals. Controlling the external excitation and measuring the responses using an MRI scanner, we can formulate the imaging problem as an inverse problem in which unknown tissue properties are recovered from the acquired MR signals. This inverse problem is nonlinear; it involves the incorporation of Maxwell's equations and Bloch equations during data acquisition. Each method for visualizing internal conductivity and permittivity distributions has its own methodological limitations, and is restricted to imaging only a part of the ensemble or mean tissue structures or states. Therefore, imaging methods can be improved by developing complementary methods that can employ the beneficial aspects of various existing techniques. This paper focuses on recent progress in MREIT and discusses its distinct features in comparison with other imaging methods.

Mesh:

Year:  2014        PMID: 24759274     DOI: 10.1109/TBME.2014.2298859

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  16 in total

1.  Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT).

Authors:  Rosalind J Sadleir; Fanrui Fu; Corey Falgas; Stephen Holland; May Boggess; Samuel C Grant; Eung Je Woo
Journal:  Neuroimage       Date:  2017-08-14       Impact factor: 6.556

2.  Imaging of current flow in the human head during transcranial electrical therapy.

Authors:  A K Kasinadhuni; A Indahlastari; M Chauhan; Michael Schär; T H Mareci; R J Sadleir
Journal:  Brain Stimul       Date:  2017-04-20       Impact factor: 8.955

3.  Analytic modeling of conductively anisotropic neural tissue.

Authors:  Benjamin L Schwartz; Munish Chauhan; Rosalind J Sadleir
Journal:  J Appl Phys       Date:  2018-08-10       Impact factor: 2.546

Review 4.  Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: a tutorial review.

Authors:  Xu Li; Kai Yu; Bin He
Journal:  Phys Med Biol       Date:  2016-08-19       Impact factor: 3.609

5.  Functional magnetic resonance electrical impedance tomography (fMREIT) sensitivity analysis using an active bidomain finite-element model of neural tissue.

Authors:  Rosalind J Sadleir; Fanrui Fu; Munish Chauhan
Journal:  Magn Reson Med       Date:  2018-05-16       Impact factor: 4.668

6.  Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study.

Authors:  Munish Chauhan; Aprinda Indahlastari; Aditya K Kasinadhuni; Michael Schar; Thomas H Mareci; Rosalind J Sadleir
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

7.  Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT.

Authors:  Yizhuang Song; Jin Keun Seo; Munish Chauhan; Aprinda Indahlastari; Neeta Ashok Kumar; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2018-02-13       Impact factor: 3.609

8.  Low frequency conductivity reconstruction based on a single current injection via MREIT.

Authors:  Yizhuang Song; Saurav Z K Sajib; Haiyang Wang; Hyeuknam Kwon; Munish Chauhan; Jin Keun Seo; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2020-11-17       Impact factor: 3.609

9.  Current density imaging sequence for monitoring current distribution during delivery of electric pulses in irreversible electroporation.

Authors:  Igor Serša; Matej Kranjc; Damijan Miklavčič
Journal:  Biomed Eng Online       Date:  2015-08-27       Impact factor: 2.819

10.  Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model.

Authors:  Quanying Liu; Joshua H Balsters; Marc Baechinger; Onno van der Groen; Nicole Wenderoth; Dante Mantini
Journal:  J Neural Eng       Date:  2015-08-25       Impact factor: 5.379

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