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DBSim and ELMA - Freeware for Simulations of Deep Brain Stimulation.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-4910-0291
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
2022 (English)In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2022, Vol. 2022, p. 1719-1724Conference paper, Published paper (Refereed)
Abstract [en]

Finite Element Method (FEM) simulations of the electric field is a useful tool to estimate the activated tissue around Deep Brain Stimulation (DBS) electrodes. Based on our previous research, a two-part software package named DBSim and ELMA is presented. ELMA is used to classify brain tissue into grey matter, white matter, blood, and cerebrospinal fluid and assign electric conductivities accordingly. This data is then used in DBSim to generate patient-specific simulations of the electric field around currently implemented leads Medtronic 3387 and 3389, and Abbott 6180 and 6181. The software is available for free download at https://liu.se/en/article/ne-downloads Clinical Relevance- This is a tool meant for research and educational purposes for e.g. studies on optimal target areas for DBS.
Place, publisher, year, edition, pages
IEEE, 2022. Vol. 2022, p. 1719-1724
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-188815DOI: 10.1109/EMBC48229.2022.9871821PubMedID: 36086324OAI: oai:DiVA.org:liu-188815DiVA, id: diva2:1699011
Conference
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, UK, 2022
Available from: 2022-09-26 Created: 2022-09-26 Last updated: 2024-12-19

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fulltext(580 kB)11 downloads
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Johansson, Johannes DWårdell, Karin
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  • de-DE
  • en-GB
  • en-US
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Output format
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