NEUROMAGNETOMETER COMPUTER SYSTEM

神经磁力计计算机系统

• 批准号: 3916971
• 负责人: R L MARTINO
• 金额: --
• 依托单位: CENTER FOR INFORMATION TECHNOLOGY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3916971
• 关键词: biomagnetism measurement; brain mapping; central neural pathway /tract; clinical biomedical equipment; computed axial tomography; computer assisted diagnosis; computer graphics /printing; computer system design /evaluation; electroencephalography; epilepsy; generalized seizures; human subject; magnetic resonance imaging; magnetoencephalography; mathematical model; nervous system disorder diagnosis; noninvasive diagnosis; patient monitoring device

The Medical Neurology Branch, NINCDS, the Biomedical Engineering and Instrumentation Branch, DRS, and the Computer Systems Laboratory, DCRT are collaborating on a research project to noninvasively localize epileptic discharge sources within the human brain by using neuromagnetic recording in conjunction with conventional electroencephalogram (EEG) recording. Many patients with seizure disorders exhibit low-level cellular discharges between seizures, indicated by interictal spikes or sharp waves in their EEG and magnetoencephalogram (MEG) recordings. This project involves the development of computer techniques for automating and enhancing the procedure that is presently used by NINCDS neurologists to determine the intracranial locations of the sources of epileptiform discharges in patients with epilepsy. During the past year, an algorithm that automatically detects the epileptiform discharges from the EEG and MEG signals was developed and tested with siqnals obtained from epileptic patients. Three- dimensional displays of the outline of the patient's head showing where the magnetometer had been positioned during previous measurement sessions were also developed so that the neurologists can plan sensor positions for future sessions. A Signal Processing Workstation was added to the system and will be used in the future to perform various signal processing tasks. In the coming year, the detection program will be tested with more patient data and implemented on the workstation to perform real- time detection. Methods for classifying the detected epileptiform discharges into types based on their morphology using correlation techniques will be developed. Anatomical data obtained from CT and MRI scans will be intergrated with the three-dimensional displays of the outline of the patient's head so that epileptic sources can be represented relative to actual brain anatomy.

医学神经病学分支，NINCDS，生物医学工程 和仪器仪表分支，DRS和计算机系统 实验室，DCRT正在合作进行一项研究项目， 非侵入性地定位人体内的癫痫放电源 大脑通过使用神经磁记录结合 常规脑电图（EEG）记录。 许多患者 有癫痫的病人表现出低水平的细胞放电 在发作之间，由发作间期的尖峰或尖波指示， 他们的脑电图和脑磁图（MEG）记录。 这个项目 涉及计算机技术的发展， 加强NINCDS目前使用的程序 神经科医生确定颅内位置的来源 癫痫患者的癫痫样放电。 在过去的一年里，一种自动检测 EEG和MEG信号的癫痫样放电被开发 用癫痫病人的信号进行测试。 三个-- 患者头部轮廓的三维显示， 磁力计在之前的 还开发了测量会议， 可以为将来的会话规划传感器位置。 信号处理 工作站已添加到系统中，并将在未来使用 以执行各种信号处理任务。 在未来的一年里，检测计划将与更多的 患者数据，并在工作站上执行真实的- 时间检测 用于对检测到的癫痫样疾病进行分类的方法 根据其形态，使用相关性将排放物分为类型 技术将得到发展。 从CT获得的解剖数据， MRI扫描将与三维显示器集成 患者头部轮廓的轮廓，以便癫痫源可以 相对于实际的大脑解剖结构来表示。