AUTOMATIC SHAPE RECOVERY OF HIPPOCAMPUS FROM BRAIN MRI

描述（改编自申请人的摘要）： 使用磁共振成像测量是一个敏感的指标， 颞叶癫痫的偏侧化。当焦点局限于 手术可以提供相当大的缓解。因此，测量 海马体积的变化可以为外科手术提供重要信息 规划然而，海马体的分割仍然是重要的， 目前是通过费力、低效和难以复制的方式来执行的 需要经过专业培训的用户的手动程序。到目前为止，没有成功的 方法可用于自动执行此过程，因为 海马边界。因此，需要一种新的方法， 为了提高MRI对外科手术的诊断效率和预测价值， 癫痫的治疗方法有哪些在这份报告中，一个潜在的 一种新的基于多分辨率小波基的形状恢复方法 整合海马体先前信息的框架将被 开发该方法将使用90例回顾性临床 由受过专业训练的神经科学家进行的检查。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。开发完成后，将对VAMP进行测试 回顾性地对120个患者数据集进行分析， 算法与自动确定海马 量和发作频率确定。

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.