Schematic Electrode Map for Navigation in Neuro Data Sets

Simple item page
dc.contributor.authorBerge, Christian Schulte zuen_US
dc.contributor.authorWeiss, Jakoben_US
dc.contributor.authorNavab, Nassiren_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:49:10Z
dc.date.available2015-09-14T04:49:10Z
dc.date.issued2015en_US
dc.description.abstractNeuro resection surgery is one of the last resorts when treating epilepsy patients where conservative treatment shows no effect on seizure reduction. However, due to the severity of the surgery, the resection planning has to be as precise as possible in order to avoid harming any critical anatomy. The tight time constraints in clinal routine demand for a highly optimized workflow. In this work, we therefore introduce a novel visualization in order to simplify the navigation in the complex multi-modal neuro data sets and support the clinician with the planning procedure. We propose a schematic electrode map based on a force-directed graph model providing an intuitive overview over the topology of the implanted depth electrode configuration. To further facilitate the planning workflow, our carefully designed electrode glyph supports different scalar, nominal and binary annotations augmenting the view with additional information. Brushing and linking techniques allow for easy mapping of the EEG data to the corresponding anatomy, as well as for straight-forward navigation within the visualization of the anatomical and functional imaging modalities in order to identify the origin and spread of the seizure. Our results show that the proposed graph layouting method successfully removes occlusions of the projected electrodes while maintaining the original topology of the depth electrode configuration. Initial discussions with clinicians and the application to clinical data further show the effectiveness of our methods.en_US
dc.description.sectionheadersHaptics and Interactionen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151223en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages195-204en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151223en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.m [Computer Graphics]en_US
dc.subjectMiscellaneousen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectHealthen_US
dc.titleSchematic Electrode Map for Navigation in Neuro Data Setsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
195-204.pdf
Size:
3.63 MB
Format:
Adobe Portable Document Format
Download
Collections
VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine