Results 51 to 60 of about 6,277,563 (283)
USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
This paper refers to the cases of the use of Artificial Neural Networks and Convolutional Neural Networks in impedance tomography. Machine Learning methods can be used to teach computers different technical problems.
Grzegorz Kłosowski, Tomasz Rymarczyk
doaj +1 more source
An Improved Algorithm GVSPM-F for Electrical Impedance Tomography
The generalized vector sampled pattern matching (GVSPM) algorithm is widely utilized in the EIT (electrical impedance tomography) reconstruction to solve the ill-posed inverse problem. An improved algorithm, which is called the generalized vector sampled
Xi He +6 more
doaj +1 more source
Electrical Impedance Tomography Revisited
We revisit the inverse problem associated with Electrical Impedance Tomography. This important imaging technique has numerous clinical applications, in particular in pulmonary, cardiac and brain imaging, as well as in the detection of breast cancer. We simplify the derivations of the basic analytical inversion formula.
Athanassios S. Fokas +1 more
openaire +2 more sources
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Realistic 3D finite element mesh of the adult human pelvis for electrical impedance tomography
The finite element method is a numerical technique used to solve forward models for electrical impedance tomography. To date, realistic finite element models (FEMs) have been created for the head and thorax, but pelvic models for bladder imaging are ...
McGinley, Brian +4 more
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Application of electrical impedance tomography in the diagnosis and treatment of acute respiratory distress syndrome [PDF]
Electrical impedance tomography (EIT) is an emerging imaging technology developed at the end of the last century, which has outstanding advantages such as non-invasiveness, non-radiation, smart, low cost and easy operation.
LIU Bo, NING Yachan, ZHANG Xiaoran, WANG Chunmei
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Advances in electrical impedance tomography-based brain imaging
Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment.
Xi-Yang Ke +9 more
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ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
A comparison of sensors for minimizing the primary signal in planar-array magnetic induction tomography [PDF]
In biomedical magnetic induction tomography (MIT), measurement precision may be improved by incorporating some form of primary field compensation/cancellation scheme.
Merletti, Roberto +204 more
core +2 more sources

