← Search

Data · dataset · 2026

A fast parallel solver for the forward problem in electrical impedance tomography

Listed in National Center for Atmospheric Research

Electrical impedance tomography (EIT) is a noninvasive imaging modality, where imperceptible currents are applied to the skin and the resulting surface voltages are measured.

Description

It has the potential to distinguish between ischaemic and haemorrhagic stroke with a portable and inexpensive device. The image reconstruction relies on an accurate forward model of the experimental setup.

Because of the relatively small signal in stroke EIT, the finite-element modeling requires meshes of more than 10 million elements. To study the requirements in the forward modeling in EIT and also to reduce the time for experimental image acquisition, it is necessary to reduce the run time of the forward computation. We show the implementation of a parallel forward solver for EIT using the DUNE-FEM C++ library and demonstrate its performance on many CPU's of a computer cluster.

Read the rest (2 more)

For a typical EIT application a direct solver was significantly slower and not an alternative to iterative solvers with multigrid preconditioning. With this new solver, we can compute the forward solutions and the Jacobian matrix of a typical EIT application with 30 electrodes on a 15-million element mesh in less than 15 min. This makes it a valuable tool for simulation studies and EIT applications with high precision requirements.

It is freely available for download.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Inferred from text
Geophysics 70% · Image 75% · Imaging 75% · Simulation 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research9bf6e66a-38fd-496a-a562-81af03a8bdc812 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3706enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imageenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imagingenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0