Multimodal Image Analysis Software for Epilepsy

 描述（由申请人提供）：癫痫是一种使人衰弱的脑部疾病，手术是那些癫痫发作无法通过药物控制的患者的主要治疗方式。癫痫手术是复杂的，需要多模态成像数据进行规划和执行，图像分析软件是这个过程中必不可少的。本申请的总体目标是开发一个强大的商业软件平台，用于癫痫手术的多模态图像分析，该平台可以获得监管部门的批准，用于学术和非学术医院的临床使用。这些软件工具的开发部分是为了满足我们在耶鲁大学癫痫研究的需要，在过去的10年里，在NIH/NIBIB的资助下，部分是在电气大地测量公司内部开发的。用于即将推出的GeoSource 3.0软件包的大脑分割、源分析和显示部分。该提案的创新在于（i）开发创新的图像分析方法，以满足癫痫图像分析的特定需求，以及（ii）将测试的研究软件转换为新设计，使其能够通过监管批准成功过渡到临床使用。这一提议的意义在于 它旨在提供临床可用的癫痫手术计划软件， 用于多模态图像集成和颅内电极定位，可与用于神经外科的图像引导导航系统集成。该工具将对手术计划和图像引导癫痫神经外科手术产生重大影响。

 DESCRIPTION (provided by applicant): Epilepsy is a debilitating brain disorder and surgery is the key treatment modality for those patients whose seizures cannot be controlled medically. Epilepsy surgery is complex, requiring multimodal imaging data for planning and execution, and image analysis software is essential for this process. The overall goal of this application is to develop a robust commercial software platform for multimodal image analysis for epilepsy surgery that can obtain regulatory approval for clinical use in both academic and non- academic hospitals. These software tools were developed in part for the needs of our epilepsy research at Yale over the last 10 years under NIH/NIBIB funding and in part internally at Electrical Geodesics Inc. for the brain segmentation, source analysis, and display parts of the forthcoming GeoSource 3.0 software package. The innovation in this proposal lies (i) the development of innovative image analysis methodology that addresses specific needs in epilepsy image analysis and (ii) the translation of tested research software to a new design that will enable its successful transition via regulatory approval to clinical use. The significance of this proposal is that it aims to provide clinically usable epilepsy surgical planning software with explicit support for multimodal image integration and intracranial electrode localization that can be integrated with the image-guided navigation systems used for neurosurgery. This tool would have a major impact on both surgical planning and image-guided epilepsy neurosurgery.