基于静息态fMRI和独立成分分析的神经胶质瘤术前多功能系统综合定位技术研究

项目名称： 基于静息态fMRI和独立成分分析的神经胶质瘤术前多功能系统综合定位技术研究

项目编号： No.81201156

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 影像医学与生物医学工程

项目作者： 张寒

作者单位： 杭州师范大学

项目金额： 23万元

中文摘要： 神经胶质瘤是颅内肿瘤最常见的一种，最主要的治疗手段是手术切除。手术原则强调最大化肿瘤切除，同时最大化功能区保留。无创的功能磁共振成像（fMRI）技术在胶质瘤术前功能区定位中已发挥重要作用。传统的基于任务fMRI进行的功能定位虽已应用于临床，但仍存在以下问题：部分病人难以配合甚至无法完成任务，导致功能定位失准；仅能定位少数功能区如运动、语言区。相比任务fMRI，静息态fMRI能简便地观察大脑功能活动，且具更高信噪比；更重要的是拥有同时研究多个功能系统的可能。基于此，本项目拟将静息态fMRI应用于胶质瘤术前功能区定位，不同于现有仅仅关注运动功能区的研究，我们提出"多功能系统全面定位"的方法，拟采用我们最新提出的稳定的独立成分分析算法，同时提取和定位多个重要脑功能网络，并进行准确性、可靠性和稳定性评价。研究成果将和传统的任务fMRI等定位技术互为补充，实现胶质瘤更全面的术前评估。

中文关键词： 胶质瘤；手术计划；术前定位；独立成分分析；功能磁共振

英文摘要： Glioma is the most common type of intracranial tumors. Tumor resection is the conventional clinical treatment. The principles of surgery is to remove as much of the tumor as possible while minimizing damage essential brain functions. As a non-invasive technique, functional Magnetic Resonance Imaging (fMRI) is playing more and more important role in presurgical function mapping, with conventional task-based fMRI being widely used in clinic. However, some patients with intracranial tumors are difficult to cooperate, or even can't accomplish task experience during scanning, causing failure of presurgical mapping. Moreover, previous clinic applications were mostly restricted only to sensorimotor and language areas. Compared with task fMRI, resting-state fMRI (R-fMRI) measures brain spontaneous activity with better feasibility and higher signal-to-noise ratio (SNR). And more importantly, using R-fMRI one can simultaneously detect many different functional systems with only once scan. Based on this, we will apply R-fMRI to glioma presurgical mapping, and will not only pay attention to sensorimotor system, but also to other functional systems. We hereby propose a new method, named "Presurgical Multi-Functional System Mapping (MFS-Mapping)", based on the R-fMRI and our newly-proposed "consistent" independent component a

英文关键词： Glioma；Surgical planning；Presurgical mapping；Independent component analysis；Functional MRI