liu.seSearch for publications in DiVA
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Software for patient-specific simulations of Deep Brain Stimulation
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. (MINT)ORCID iD: 0000-0003-4910-0291
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. (MINT)ORCID iD: 0000-0002-6896-1452
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. (MINT)ORCID iD: 0000-0002-0012-7867
2019 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

Deep Brain Stimulation (DBS) is an established technique for symptomatic treatment of some neurological disorders such as Parkinson’s disease and essential tremor. Finite Element Method (FEM) simulations of the electric field magnitude (EF) can be used to estimate which structures in the brain that are affected by DBS, where an EF of 0.2 V/mm has been estimated to affect the structures when using a pulse width of 60 µs [1, 2]. We are developing a Matlab-based application named ELMA [3] for tissue classification and electric conductivity assignment to use in the FEM software Comsol Multiphysics (CM). Preoperative MR images are used to classify tissue into grey matter, white matter, blood and cerebrospinal fluid and this classification is then used to assign the electric conductivity for the FEM simulations. We are also developing a CM application for easy electrode placement and simulations of the EF. It is currently containing the Medtronic 3389 lead but will be expanded with other lead types such as segmented leads for directional stimulation. Both applications will be free and available for download at

https://liu.se/en/research/dbs

The CM application does require a CM license at the moment though.

References

[1]          J. D. Johansson, F. Alonso, and K. Wårdell, "Modelling details for electric field simulations of deep brain stimulation," in World Congress on Medical Physics & Biomedical Engineering, Prague, 2018, vol. 68, no. 1: Springer, pp. 645-648.

[2]          M. Åström, E. Diczfalusy, H. Martens, and K. Wårdell, "Relationship between Neural Activation and Electric Field Distribution during Deep Brain Stimulation," (in English), IEEE T Bio-Med Eng, vol. 62, no. 2, pp. 664-672, Feb 2015.

[3]          J. D. Johansson, F. Alonso, and K. Wårdell, "Patient-Specific Simulations of Deep Brain Stimulation Electric Field with Aid of In-house Software ELMA " in the 41st International Engineering in Medicine and Biology Conference, Berlin, 2019.

Place, publisher, year, edition, pages
2019.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-170725OAI: oai:DiVA.org:liu-170725DiVA, id: diva2:1477407
Conference
Medicinteknikdagarna 2-3 October 2019, Linköping
Funder
Swedish Foundation for Strategic Research , BD15-0032Swedish Research Council, 621-2013-6078Swedish Research Council, 2016-03564Knut and Alice Wallenberg Foundation, Seeing Organ FunctionAvailable from: 2020-10-19 Created: 2020-10-19 Last updated: 2021-03-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Johansson, Johannes D.Alonso, FabiolaWårdell, Karin

Search in DiVA

By author/editor
Johansson, Johannes D.Alonso, FabiolaWårdell, Karin
By organisation
Division of Biomedical EngineeringFaculty of Science & Engineering
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 69 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf