| 电阻抗图象重建的新正则化方法 |
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| 引用本文： | 侯卫东,莫玉龙.电阻抗图象重建的新正则化方法[J].上海大学学报(英文版),2002,6(3):211-215. |
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| 作者姓名： | 侯卫东 莫玉龙 |
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| 作者单位： | SchoolofCommunicationandInformationEngineering,ShanghaiUniversity,Shanghai200072,China |
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| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationof China(60 0 75 0 0 9) |
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| 摘 要： | Image reconstruction in elecrical impedance tomography(EIT)is a highly ill-posed inverse problem,Regularization techniques must be used in order to solve the problem,In this paper,a new regularization method based on the spatial filtering theory is proposed.The new regularized reconstruction for EIT is independent of the estimation of impedance distribution,so it can be implemented more easily than the maxiumum a posteriori(MAP) method.The regularization level in our proposed method varies spatially so as to be suited to the correlation character of the object‘s impedance distribution.We implemented our regularization method with two dimensional computer simulations.The experimental results indicate that the quality of the reconstructed impedance images with the descibed regularization method based on spatial filtering theory is better than that with Tikhonov method.
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| 关 键 词： | 图象处理 正则化方法 电抗层析X射线摄影法 |
| 收稿时间： | 30 October 2001 |
New regularization method in electrical impedance tomography |
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| Hou?Wei-Dong,Mo?Yu-Long.New regularization method in electrical impedance tomography[J].Journal of Shanghai University(English Edition),2002,6(3):211-215. |
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| Authors: | Hou Wei-Dong Mo Yu-Long |
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| Institution: | School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China |
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| Abstract: | Image reconstruction in electrical impedance tomography(EIT) is a highly ill posed inverse problem. Regularization techniques must be used in order to solve the problem. In this paper, a new regularization method based on the spatial filtering theory is proposed. The new regularized reconstruction for EIT is independent of the estimation of impedance distribution, so it can be implemented more easily than the maximum a posteriori(MAP) method. The regularization level in our proposed method varies spatially so as to be suited to the correlation character of the object's impedance distribution. We implemented our regularization method with two dimensional computer simulations. The experimental results indicate that the quality of the reconstructed impedance images with the descibed regularization method based on spatial filtering theory is better than that with Tikhonov method. |
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| Keywords: | image reconstruction image processing regularization electrical impedance tomography |
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