학술논문

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
Document Type
research-article
Author
Mark Nowell, author; Roman Rodionov, author; Gergely Zombori, author; Rachel Sparks, author; Michele Rizzi, author; Sebastien Ourselin, author; Anna Miserocchi, author; Andrew McEvoy, author; John Duncan, author
Source
Journal of Visualized Experiments. (111)
Subject
Medicine
Issue 111
epilepsy
surgery
multimodality
imaging
3D
planning
Language
English
ISSN
1940-087X
Abstract
Epilepsy surgery is challenging and the use of 3D multimodality image integration (3DMMI) to aid presurgical planning is well-established. Multimodality image integration can be technically demanding, and is underutilised in clinical practice. We have developed a single software platform for image integration, 3D visualization and surgical planning. Here, our pipeline is described in step-by-step fashion, starting with image acquisition, proceeding through image co-registration, manual segmentation, brain and vessel extraction, 3D visualization and manual planning of stereoEEG (SEEG) implantations. With dissemination of the software this pipeline can be reproduced in other centres, allowing other groups to benefit from 3DMMI. We also describe the use of an automated, multi-trajectory planner to generate stereoEEG implantation plans. Preliminary studies suggest this is a rapid, safe and efficacious adjunct for planning SEEG implantations. Finally, a simple solution for the export of plans and models to commercial neuronavigation systems for implementation of plans in the operating theater is described. This software is a valuable tool that can support clinical decision making throughout the epilepsy surgery pathway.