Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing
Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing
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DOI：
10.1109/tmi.2007.908684
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发表时间：
2008-04-01
影响因子：
10.6
通讯作者：
Voss, H. U.
中科院分区：
文献类型：
--
作者：
Tabelow, K.;Polzehl, J.;Voss, H. U.
功能磁共振成像（fMRI）实验分析的一个重要问题是在不模糊激活区域形状的情况下实现数据的降噪。作为一种新的解决方案，最近的传播分离（PS）的方法已被提出。PS是一种结构自适应的平滑方法，可以适应不同形状的激活区域。在本文中，我们将演示如何使用这种方法更准确地定位大脑活动。首先，它是在数值模拟中示出的PS是上级高斯平滑方面的激活集群的形状的准确描述，并导致更少的错误检测。其次，在37个术前规划的情况下，我们发现，PS和高斯平滑的研究往往会产生不同的结果，我们提出的例子显示方面的优越性PS应用于术前规划。
An important problem of the analysis of functional magnetic resonance imaging (fMRI) experiments is to achieve some noise reduction of the data without blurring the shape of the activation areas. As a novel solution to this problem, recently the propagation-separation (PS) approach has been proposed. PS is a structure adaptive smoothing method that adapts to different shapes of activation areas. In this paper, we demonstrate how this method results in a more accurate localization of brain activity. First, it is shown in numerical simulations that PS is superior over Gaussian smoothing with respect to the accurate description of the shape of activation clusters and results in less false detections. Second, in a study of 37 presurgical planning cases we found that PS and Gaussian smoothing often yield different results, and we present examples showing aspects of the superiority of PS as applied to presurgical planning.