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作 者:HUANG Kama HUANG Kama LI Jing LI Jing[1]
机构地区:[1]College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China [1]College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China
出 处:《Chinese Journal of Electronics》2009年第4期763-766,共4页电子学报(英文版)
基 金:This work is supported by the National natural Science Foundation of China (No. 60531010).
摘 要:In the reconstruction of complex permit- tivity, a lot of data in scattering fields measured around the body consumed enormous calculation. In fact, the contri- bution of data measured in different areas is quite dissimi- lar to the reconstruction. In this paper, we propose a novel method to analyze the influence of data measured in differ- ent areas on the image quality before the reconstruction. By calculating the evaluation factor based on information entropy and Bayesian theory, only the data measured in crucial areas are used to reconstruct the permittivity can obviously reduce the computing time. In a 2-D microwave biomedical imaging, we have verified the feasibility of this method.
关 键 词:Microwave biomedical imaging Informa- tion entropy Bayesian theory Evaluation factor.
分 类 号:TN957.51[电子电信—信号与信息处理] TB383[电子电信—信息与通信工程]
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