| 一种新的脑白质分割方法 |
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| 引用本文： | 孟琭,苗长胜,王丽娟.一种新的脑白质分割方法[J].东北大学学报(自然科学版),2012,33(5):645-648. |
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| 作者姓名： | 孟琭 苗长胜 王丽娟 |
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| 作者单位： | 1. 东北大学信息科学与工程学院,辽宁沈阳,110819
2. 辽宁大学轻型产业学院,辽宁沈阳,110036 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 基于扩散张量成像提出一种新的脑白质分割方法.首先,计算扩散张量成像的各向异性参数和扩散参数,并得到各个参数下的脑部图像;然后,通过期望值最大化(expectation maximization,EM)模型求得各个各向异性参数图像的脑白质和非脑白质区域;最后,通过STAPLE(simultaneous truth and performancel evel estimation)模型融合各个DTI参数图像分割结果,得到脑白质分割结果.实验结果表明,该方法具有较好的分割效果,能有效地从脑组织中分割出脑白质.
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| 关 键 词： | 扩散张量成像 脑组织分割 EM模型 STAPLE模型 |
A New Method of Brain White Matter Segmentation |
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| MENG Lu,MIAO Chang-sheng,WANG Li-juan.A New Method of Brain White Matter Segmentation[J].Journal of Northeastern University(Natural Science),2012,33(5):645-648. |
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| Authors: | MENG Lu MIAO Chang-sheng WANG Li-juan |
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| Institution: | 1.School of Information Science & Engineering,Northeastern University,Shenyang 110819,China;2.Light Industry College,Liaoning University,Shenyang 110036,China.) |
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| Abstract: | A novel brain structure segmentation algorithm based on diffusion tensor imaging(DTI),which can extract white matter(WM) is presented.First,DTI diffusion and anisotropy parameters are computed to achieve brain images of each DTI parameter channel.Then,using the expectation maximization(EM) model,WM/non-WM regions in the anisotropy parameters channel are calculated.Finally,using simultaneous truth and performance level estimation(STAPLE) model,segmentation results of each DTI parameter image are fused to achieve the final brain white matter structure segmentation results.Experiments’ results showed that the algorithm can accurately segment,WM in brain structures. |
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| Keywords: | diffusion tensor imaging brain structure segmentation EM(expectation maximization) model STAPLE(simultaneous truth and performance level estimation) model |
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