scholarly journals INFLUENCE OF HIGH-FREQUENCY ELECTRIC SCALPEL ON MORPHOLOGICAL INDICATORS OF EXPERIMENTAL ANIMALS BIOLOGICAL TISSUES

2021 ◽  
Vol 2 (1) ◽  
pp. 193
Author(s):  
S. M. Bilash ◽  
O. M. Pronina ◽  
A. V. Pyrog-Zakaznykova ◽  
R. O. Reva ◽  
O. S. Svyryda ◽  
...  
2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Yukio Kosugi ◽  
Tadashi Takemae ◽  
Hiroki Takeshima ◽  
Atsushi Kudo ◽  
Kazuyuki Kojima ◽  
...  

Biological tissue will have anisotropy in electrical conductivity, due to the orientation of muscular fibers or neural axons as well as the distribution of large size blood vessels. Thus, the in vivo measurement of electrical conductivity anisotropy can be used to detect deep-seated vessels in large organs such as the liver during surgeries. For diagnostic applications, decrease of anisotropy may indicate the existence of cancer in anisotropic tissues such as the white matter of the brain or the mammary gland in the breast. In this paper, we will introduce a new tri-phase induction method to drive rotating high-frequency electrical current in the tissue for the measurement of electrical conductivity anisotropy. In the measurement, three electromagnets are symmetrically placed on the tissue surface and driven by high-frequency alternative currents of 0 kHz, modulated with 1 kHz 3-phase signals. In the center area of three magnets, magnetic fields are superimposed to produce a rotating induction current. This current produces electrical potentials among circularly arranged electrodes to be used to find the conductivity in each direction determined by the electrode pairs. To find the horizontal and vertical signal components, the measured potentials are amplified by a 2ch lock-in amplifier phase-locked with the 1 kHz reference signal. The superimposed current in the tissue was typically 45 micro Amperes when we applied 150 micro Tesla of magnetic field. We showed the validity of our method by conducting in vitro measurements with respect to artificially formed anisotropic materials and preliminary in vivo measurements on the pig’s liver. Compared to diffusion tensor MRI method, our anisotropy sensor is compact and advantageous for use during surgical operations because our method does not require strong magnetic field that may disturb ongoing surgical operations.


2013 ◽  
Vol 77 (2) ◽  
pp. 146-150 ◽  
Author(s):  
A. A. Vazina ◽  
A. A. Vasilieva ◽  
N. F. Lanina ◽  
A. V. Zabelin ◽  
V. N. Korneev ◽  
...  

2021 ◽  
Vol 2021 (2) ◽  
pp. 17-21
Author(s):  
G.S. Marynsky ◽  
◽  
K.G. Lopatkina ◽  
O.V. Chernets ◽  
S.E. Podpryatov ◽  
...  

2016 ◽  
Vol 2016 (12) ◽  
pp. 38-42 ◽  
Author(s):  
G.S. Marinsky ◽  
◽  
A.V. Chernets ◽  
V.A. Tkachenko ◽  
D.A. Grabovsky ◽  
...  

2012 ◽  
Vol 132 (3) ◽  
pp. 2066-2066
Author(s):  
Kristina M. Sorensen ◽  
Timothy E. Doyle ◽  
Brett D. Borget ◽  
Monica Cervantes ◽  
J. A. Chappell ◽  
...  

2020 ◽  
Author(s):  
Mun Bae Lee ◽  
Hyung Joong Kim ◽  
Oh-In Kwon

Abstract Background: As an object's electrical passive property, the electrical conductivity is proportional to the mobility and concentration of charged carriers that reflect the brain micro-structures. The measured Mb-DWI data by controlling the degree of applied diffusion weights can quantify the apparent mobility of water molecules within biological tissues. Without any external electrical stimulation, magnetic resonance electrical properties tomography (MREPT) techniques have successfully recovered the conductivity distribution at a Larmor-frequency. Methods: This work provides a non-invasive method to decompose the high-frequency conductivity into the extracellular medium conductivity based on a two-compartment model using multi-b diffusion-weighted imaging (Mb-DWI). To separate the intra- and extracellular micro-structures from the recovered high-frequency conductivity, we include higher b-values DWI and apply the random decision forests to stably determine the micro-structural diffusion parameters. Results: To demonstrate the proposed method, we conducted human experiments by comparing the results of reconstructed conductivity of extracellular medium and the conductivity in the intra-neurite and intra-cell body. Human experiments verify that the proposed method can recover the extracellular electrical properties from the high-frequency conductivity using a routine protocol sequence of MRI scan. Conclusion: We have proposed a method to decompose the electrical properties in the extracellular, intra-neurite, and soma compartments from the high-frequency conductivity map, reconstructed by solving the electro-magnetic equation with measured B1 phase signals.


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