Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment

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• 作者：Rachel Sparks ; Gergely Zombori…
• 关键词：Computer ; assisted planning ; Epilepsy ; Neurosurgery ; Image ; guided neurosurgery
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：12
• 期：1
• 页码：123-136
• 全文大小：2463KB
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer International Publishing
• ISSN：1861-6429
• 卷排序：12

文摘

PurposeAbout one-third of individuals with focal epilepsy continue to have seizures despite optimal medical management. These patients are potentially curable with neurosurgery if the epileptogenic zone (EZ) can be identified and resected. Stereo-electroencephalography (SEEG) to record epileptic activity with intracranial depth electrodes may be required to identify the EZ. Each SEEG electrode trajectory, the path between the entry on the skull and the cerebral target, must be planned carefully to avoid trauma to blood vessels and conflicts between electrodes. In current clinical practice trajectories are determined manually, typically taking 2–3 h per patient (15 min per electrode). Manual planning (MP) aims to achieve an implantation plan with good coverage of the putative EZ, an optimal spatial resolution, and 3D distribution of electrodes. Computer-assisted planning tools can reduce planning time by quantifying trajectory suitability.