Solving electrical impedance tomography with deep learning
نویسندگان
چکیده
منابع مشابه
Applications of Electrical Impedance Tomography in Neurology
Introduction: Electrical impedance tomography (EIT) is a non-invasive technique utilized in various medical applications, including brain imaging and other neurological diseases. Recognizing the physiological and anatomical characteristics of organs based on their electrical properties is one of the main applications of EIT, as each variety of tissue structure has its own electrical characteris...
متن کاملElectrical impedance tomography
We review theoretical and numerical studies of the inverse problem of electrical impedance tomography which seeks the electrical conductivity and permittivity inside a body, given simultaneous measurements of electrical currents and potentials at the boundary. (Some figures in this article are in colour only in the electronic version)
متن کاملElectrical Impedance Tomography
This paper surveys some of the work our group has done in electrical impedance tomography.
متن کاملElectrical Impedance Tomography
Electrical impedance tomography (EIT) is a technology developed to image the electrical conductivity distribution of a conductive medium. The technology is of interest because of its low cost and also because the measurement of the electrical conductivity brings direct information about the composition of the conductive medium. Because the ground is conductive to a certain extent, the technolog...
متن کاملElectrical Impedance Tomography
Employment of technical equipment and devices increased intensely in anaesthesiology and intensive care medicine respectively during the last decades. Regarding mechanical ventilation, which is of outstanding clinical value up to date, lots of modes, parameters and features have been developed and technically implemented in modern respirators [1]. Although the ARDS network encouraged scientific...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational Physics
سال: 2020
ISSN: 0021-9991
DOI: 10.1016/j.jcp.2019.109119