AUTOMATIC SHAPE RECOVERY OF HIPPOCAMPUS FROM BRAIN MRI

描述(摘自申请者摘要)：海马区不对称 使用磁共振成像进行测量是一项敏感的指标 颞叶癫痫的偏侧化。当焦点被限制在 在单侧大脑半球，手术可以提供相当大的缓解。因此，测量 海马体的体积可以为外科手术提供至关重要的信息 计划。然而，海马体的分割仍然不是微不足道的 目前是通过费力、低效和难以复制的方式进行的 需要经过专业培训的用户的手动程序。到目前为止，还没有成功 方法可用于自动执行此过程，因为 磁共振图像上的海马区边界。因此，需要一种新的方法来 为提高MRI对外科手术的诊断效率和预测价值 治疗癫痫的计划。在这项提案中，一个潜在的 一种基于多分辨率小波基的形状恢复新方法 包含关于海马体的先前信息的框架将是 发展起来的。该方法将通过90个临床回顾进行培训 由训练有素的神经学家进行的检查。初步数据 已经证明了这种方法的巨大潜力。用户 将开发友好的可视化和月经程序(VAMP) 作为临床接口。开发后，将对VAMP进行测试 120例患者数据集非用户训练回顾 算法及自动确定海马区之间的相关性 确定了容量和癫痫发作频率。

DESCRIPTION (Adapted from Applicant's Abstract): Hippocampal asymmetry measure using Magnetic Resonance Imaging is a sensitive index of the lateralization of temporal lobe epilepsy. When the focus is confined to one hemisphere, surgery can provide considerable relief. Thus, measurement of hippocampal volume can provide information crucial for surgical planning. However, segmentation of the hippocampus remains non-trivial and is presently performed by laborious inefficient and difficult to reproduce manual procedures requiring expertly trained users. To date, no successful method is available to automate this procedure due to the poorly defined hippocampal boundary on MR images. Thus, a new approach is required in order to increase efficiency and predictive value of MRI for surgical planning gin the treatment of epilepsy. In this proposal, a potentially novel shape recovery method using a multi-resolution wavelet basis framework incorporating prior information on the hippocampus will be developed . The method will be trained using 90 retrospective clinical exams performed by an expertly trained neuroscientist. Preliminary data already demonstrate the great potential of this methodology. A user friendly Visualization and Menstruation Program (VAMP) will be developed as a clinical interface. When developed, VAMP will be tested retrospectively on 120 patient data sets not user for training the algorithm and the correlation between automatically determined hippocampal volumes and seizure frequency determined.