Simple paradigm for extra-cerebral tissue removal: algorithm and analysis.
Simple paradigm for extra-cerebral tissue removal: algorithm and analysis.
复制标题
简单的范式去除外部组织：算法和分析。
DOI：
10.1016/j.neuroimage.2011.03.045
复制
发表时间：
2011-06-15
期刊：
影响因子：
5.7
通讯作者：
Prince, Jerry L.
中科院分区：
文献类型：
--
作者：
Carass, Aaron;Cuzzocreo, Jennifer;Wheeler, M. Bryan;Bazin, Pierre-Louis;Resnick, Susan M.;Prince, Jerry L.
从t1加权结构磁共振图像中提取大脑（即大脑、小脑和脑干）是神经图像分析的重要初始步骤。虽然自动算法是可用的，但它们对皮质地幔的不一致处理通常需要人工交互，从而降低了它们的有效性。本文提出了一种结合弹性配准、组织分割和分水岭原理相结合的形态学技术的全自动脑提取算法，同时特别注意保留灰质和脑脊液之间的边界。将该方法与人工评分器进行比较，并使用Dice系数和containment index作为性能指标，在公开可用的脑图像数据集上与其他几种领先算法进行比较。这一初始步骤对随后皮层表面生成的定性和定量影响也被提出。我们的实验表明，我们的方法在数量上优于其他六种领先的算法（在现代t1加权MR数据上具有统计显著性）。我们还在超过1000个受试者的非常大的数据集上验证了该算法的鲁棒性，并表明它可以取代经验丰富的人工评估器作为皮质表面提取算法的预处理，并且皮质表面位置的差异在统计学上不显著。
Extraction of the brain — i.e. cerebrum, cerebellum, and brain stem — from T1-weighted structural magnetic resonance images is an important initial step in neuroimage analysis. Although automatic algorithms are available, their inconsistent handling of the cortical mantle often requires manual interaction, thereby reducing their effectiveness. This paper presents a fully automated brain extraction algorithm that incorporates elastic registration, tissue segmentation, and morphological techniques which are combined by a watershed principle, while paying special attention to the preservation of the boundary between the gray matter and the cerebrospinal fluid. The approach was evaluated by comparison to a manual rater, and compared to several other leading algorithms on a publically available data set of brain images using the Dice coefficient and containment index as performance metrics. The qualitative and quantitative impact of this initial step on subsequent cortical surface generation is also presented. Our experiments demonstrate that our approach is quantitatively better than six other leading algorithms (with statistical significance on modern T1-weighted MR data). We also validated the robustness of the algorithm on a very large data set of over one thousand subjects, and showed that it can replace an experienced manual rater as preprocessing for a cortical surface extraction algorithm with statistically insignificant differences in cortical surface position.
登录
查看更多内容
影响因子：
10.6
作者：
Bazin, Pierre-Louis;Pham, Dzung L.
通讯作者：
Pham, Dzung L.
影响因子：
3.7
作者：
Rettmann, Maryam E.;Kraut, Michael A.;Resnick, Susan M.
通讯作者：
Resnick, Susan M.
影响因子：
3
作者：
Bazin, Pierre-Louis;Cuzzocreo, Jennifer L.;Pham, Dzung L.
通讯作者：
Pham, Dzung L.
影响因子：
10.6
作者：
Rohde, GK;Aldroubi, A;Dawant, BM
通讯作者：
Dawant, BM
影响因子：
10.9
作者：
Kapur, T;Grimson, W E;Kikinis, R
通讯作者：
Kikinis, R