Topology-Based Nonlocal Fuzzy Segmentation of Brain MR Image With Inhomogeneous and Partial Volume Intensity
Topology-Based Nonlocal Fuzzy Segmentation of Brain MR Image With Inhomogeneous and Partial Volume Intensity
复制标题
基于拓扑的非均匀局部体积强度脑磁共振图像非局部模糊分割
DOI：
10.1097/wnp.0b013e3182570f94
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发表时间：
2012-06
影响因子：
2.4
通讯作者：
Zhang, Ming
中科院分区：
文献类型：
--
作者：
Yu, Gang;Gao, YanHua;Zhang, Ming
目的：目的是自动分割具有不均匀和部分体积（PV）强度的脑磁共振（MR）图像，用于大脑和神经生理学分析。方法：我们首先将局部模型应用于 MR 图像分析，而不是假设图像数据上存在单个偏置场。利用脑拓扑知识，选择几个特定的局部区域，然后提取典型的脑组织，用于模糊聚类中心和成员函数的先估计。一种新的非局部模糊标记方案被应用于基于块比较和距离权重的全局优化分割，该方案对噪声和不均匀强度具有鲁棒性。非局部标记提供了脑组织（例如脑脊液（CSF）、白质（WM）和灰质（GM））的优化模糊成员值和局部强度估计。除了强度不均匀之外，PV 还可能导致错误分割。为了纠正由于PV引起的错误分段，本文还提供了两种纠正方案。第一个是在深部脑沟中提取CSF，通过强度比较和拓扑形状比较来捕获更多的CSF候选。然后估计局部纯CSF、WM和GM以校正CSF/GM和WM/GM的界面。结果：分割实验在 Brainweb 模拟图像和互联网大脑分割存储库数据库（IBSR）真实图像上进行。实验结果证明了我们的方法的稳健和高效的性能。结论：我们的方法可以应用于大脑 MR 图像的自动分割。
Purpose: The aim was to automatically segment brain magnetic resonance (MR) image with inhomogeneous and partial volume (PV) intensity for brain and neurophysiology analysis. Methods: Rather than assuming the presence of a single bias field over the image data, we first apply a local model to MR image analysis. With the brain topology knowledge, several specific local regions are selected, and typical brain tissues are then extracted for the prior estimation of fuzzy clustering center and member function. A new nonlocal fuzzy labeling scheme is applied to global optimization segmentation based on the block comparison and distance weight, which is robust to noise and inhomogeneous intensity. The nonlocal labeling provides optimized fuzzy member value and local intensity estimation of brain tissues such as cerebrospinal fluid (CSF), white matter (WM), and gray matter (GM). In addition to inhomogeneous intensity, PV may lead to error segmentation. To correct error segmentation because of PV, this article also provides two correction schemes. The first one is to extract CSF in deep sulci, which captures more CSF candidate by intensity comparison and topology shape comparison. The local pure CSF, WM, and GM is then estimated to correct the interfaces of CSF/GM and WM/GM. Results: The segmentation experiments are performed on both brainweb-simulated images and Internet brain segmentation repository database (IBSR) real images. The experimental results demonstrate the robust and efficient performance of our approach. Conclusions: Our approach can be applied to automatic segmentation of the brain MR image.
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影响因子：
3.3
作者：
Stollberger, R;Wach, P
通讯作者：
Wach, P
影响因子：
3
作者：
A. Rueda;O. Acosta;M. Couprie;P. Bourgeat;Olivier Salvado
通讯作者：
A. Rueda;O. Acosta;M. Couprie;P. Bourgeat;Olivier Salvado
影响因子：
4.8
作者：
Smith, SM
通讯作者：
Smith, SM
影响因子：
19.5
作者：
Segonne, Florent
通讯作者：
Segonne, Florent
影响因子：
5.7
作者：
Brouwer, Rachel M.;Pol, Hilleke E. Hulshoff;Schnack, Hugo G.
通讯作者：
Schnack, Hugo G.