liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Guiding Deep Brain Stimulation Interventionsby Fusing Multimodal Uncertainty Regions
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Scientific Visualization Group)ORCID iD: 0000-0002-2849-6146
St. Barbara Hospital, Hamm, Germany.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Sound Processing Group)
St. Barbara Hospital, Hamm, Germany.
Show others and affiliations
2013 (English)Conference paper (Other academic)
Abstract [en]

Deep Brain Stimulation (DBS) is a surgical intervention that is known to reduce or eliminate the symptoms of common movement disorders, such as Parkinson.s disease, dystonia, or tremor. During the intervention the surgeon places electrodes inside of the patient.s brain to stimulate speci.c regions. Since these regions span only a couple of millimeters, and electrode misplacement has severe consequences, reliable and accurate navigation is of great importance. Usually the surgeon relies on fused CT and MRI data sets, as well as direct feedback from the patient. More recently Microelectrode Recordings (MER), which support navigation by measuring the electric .eld of the patient.s brain, are also used. We propose a visualization system that fuses the different modalities: imaging data, MER and patient checks, as well as the related uncertainties, in an intuitive way to present placement-related information in a consistent view with the goal of supporting the surgeon in the .nal placement of the stimulating electrode. We will describe the design considerations for our system, the technical realization, present the outcome of the proposed system, and provide an evaluation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 97-104 p.
National Category
Computer Science
URN: urn:nbn:se:liu:diva-92857DOI: 10.1109/PacificVis.2013.6596133ISI: 000333746600013ISBN: 978-146734797-6OAI: diva2:623363
IEEE Pacific Visualization, 26 February - 1 March 2013, Sydney, Australia
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterSwedish Research Council, 2011-4113
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2015-09-22

Open Access in DiVA

paper(10592 kB)485 downloads
File information
File name FULLTEXT01.pdfFile size 10592 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Bock, AlexanderEvangelista, GianpaoloRopinski, Timo
By organisation
Media and Information TechnologyThe Institute of Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 485 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 157 hits
ReferencesLink to record
Permanent link

Direct link