Guiding Deep Brain Stimulation Interventions by Fusing Multimodal Uncertainty Regions
Proceedings of the 2013 IEEE Pacific Visualization Symposium (PacificVis), page 97--104 - feb 2013
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.
Images and movies
BibTex references
@article{BLELR13, author = {Bock, Alexander and Lang, Norbert and Evangelista , Gianpaolo and Lehrke, Ralph and Ropinski, Timo}, title = {{Guiding Deep Brain Stimulation Interventions by Fusing Multimodal Uncertainty Regions}}, journal = {Proceedings of the 2013 IEEE Pacific Visualization Symposium (PacificVis)}, pages = {97--104}, year = {2013} }