18 March 2015 Localizing and tracking electrodes using stereovision in epilepsy cases
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Abstract
In epilepsy cases, subdural electrodes are often implanted to acquire intracranial EEG (iEEG) for seizure localization and resection planning. However, the electrodes may shift significantly between implantation and resection, during the time that the patient is monitored for iEEG recording. As a result, the accuracy of surgical planning based on electrode locations at the time of resection can be compromised. Previous studies have only quantified the electrode shift with respect to the skull, but not with respect to the cortical surface, because tracking cortical shift between surgeries is challenging. In this study, we use an intraoperative stereovision (iSV) system to visualize and localize the cortical surface as well as electrodes, record three-dimensional (3D) locations of the electrodes in MR space at the time of implantation and resection, respectively, and quantify the raw displacements, i.e., with respect to the skull. Furthermore, we track the cortical surface and quantify the shift between surgeries using an optical flow (OF) based motion-tracking algorithm. Finally, we compute the electrode shift with respect to the cortical surface by subtracting the cortical shift from raw measured displacements. We illustrate the method using one patient example. In this particular patient case, the results show that the electrodes not only shifted significantly with respect to the skull (8.79 ± 3.00 mm in the lateral direction, ranging from 2.88 mm to 12.87 mm), but also with respect to the cortical surface (7.20 ± 3.58 mm), whereas the cortical surface did not shift significantly in the lateral direction between surgeries (2.23 ± 0.76 mm).
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Xiaoyao Fan, Xiaoyao Fan, Songbai Ji, Songbai Ji, David W. Roberts, David W. Roberts, Keith D. Paulsen, Keith D. Paulsen, } "Localizing and tracking electrodes using stereovision in epilepsy cases", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94150G (18 March 2015); doi: 10.1117/12.2082016; https://doi.org/10.1117/12.2082016
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