| A head phantom prototype to verify subdural electrode localization tools in epilepsy surgery. | |
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MedLine Citation:
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PMID: 20211264 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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When planning epilepsy surgery, the position of subdural electrodes in relation to the cortex is crucial. Electrodes may dislocate after implantation. Neurosurgeons are highly interested in the accuracy of methods that visualize these electrodes. In order to determine the accuracy of an electrode visualization method, we have developed a physical head phantom and evaluated our new method of subdural electrode localization. This method projects automatically segmented electrodes of a preimplantation computed tomography (CT) data set onto the segmented brain surface of a postimplantation magnetic resonance imaging (MRI) data set within 2 to 5 min. The phantom consists of a skull, an adipose layer for skin replication, and a deformable brain. It further contains gyri and sulci structures, composed of gelatin and different additives used as phantom material for white matter, gray matter, and cerebrospinal fluid. The phantom allows a well-defined displacement of an "implanted" electrode grid perpendicular to the brain surface. By using the phantom data, we demonstrated that our electrode visualization tool did in fact function accurately. The image contrasts between different phantom materials in MRI and CT phantom data sets were similar to patient data sets. The phantom appears suitable for obtaining a more complex patient data replication, as well as for simulating different deformation scenarios. |
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Authors:
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Julia Kuss; Stefan Wagner; Tobias Meyer; Matthias Kirsch; Annett Werner; Gabriele Schackert; Rüdiger von Kummer; Ute Morgenstern |
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Publication Detail:
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Type: Journal Article Date: 2010-03-06 |
Journal Detail:
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Title: NeuroImage Volume: 54 Suppl 1 ISSN: 1095-9572 ISO Abbreviation: Neuroimage Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-01-03 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9215515 Medline TA: Neuroimage Country: United States |
Other Details:
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Languages: eng Pagination: S256-62 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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Institute of Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, Dresden University of Technology, Dresden, Germany. Julia.Kuss@tu-dresden.de |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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