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T1 - Approximating the Electrical Impedance Tomography Forward Problem with Graph Neural Networks
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UR - URN:NBN:fi:hulib-202106162959; http://hdl.handle.net/10138/331335
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A1 - Mustonen, Aleksi
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PB - Helsingin yliopisto
Y1 - 2021
LA - eng
AB - Electrical impedance tomography is a differential tomography method where current is injected into a domain and its interior distribution of electrical properties are inferred from measurements of electric potential around the boundary of the domain. Within the context of this imaging method the forward problem describes a situation where we are trying to deduce voltage measurements on a boundary of a domain given the conductivity distribution of the interior and current injected into the domain...
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KW - Deep Neural Networks; Electrical Impedance Tomography; Graph Kernel Networks; Matematiikka; Mathematics; Matematik; Matematiikan ja tilastotieteen maisteriohjelma; Master's Programme in Mathematics and Statistics; Magisterprogrammet i matematik och statistik
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