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脑磁感应断层成像技术的敏感性分析及图像重建
引用本文:陈玉艳,王旭,吕轶,杨丹. 脑磁感应断层成像技术的敏感性分析及图像重建[J]. 东北大学学报(自然科学版), 2012, 33(6): 782-785. DOI: -
作者姓名:陈玉艳  王旭  吕轶  杨丹
作者单位:1.东北大学信息科学与工程学院,辽宁沈阳,110819;2.东北大学信息科学与工程学院,辽宁沈阳,110819;3.东北大学信息科学与工程学院,辽宁沈阳,110819;4.东北大学信息科学与工程学院,辽宁沈阳,110819
基金项目:国家自然科学基金资助项目,中央高校基本科研业务费青年教师科研启动基金资助项目
摘    要:为了分析脑磁感应断层成像(MIT)技术的敏感性,利用三层同心圆的简单头模型讨论了颅内血肿电导率大小、颅内血肿面积、颅内血肿位置及颅骨电导率大小对接收线圈上感生电压的影响,并利用变差正则化方法对三个不同位置的血肿进行了仿真重建.仿真结果表明:低电导率的颅骨对接收线圈上感生电压的影响不大,且利用变差正则化方法所获得的重建图像可以大致反映出颅内血肿的位置和大小.与Tikhonov正则化方法相比,重建图像的质量也得到了一定的提高,所以此方法为脑MIT的图像重建提供了一种有效的途径.

关 键 词:磁感应断层成像(MIT)  血肿  感生电压  变差正则化  Tikhonov正则化  图像重建  

Analysis of Sensitivity Characteristic and Image Reconstruction for Brain Magnetic Induction Tomography
CHEN Yu-yan,WANG Xu,Lü Yi,YANG Dan. Analysis of Sensitivity Characteristic and Image Reconstruction for Brain Magnetic Induction Tomography[J]. Journal of Northeastern University(Natural Science), 2012, 33(6): 782-785. DOI: -
Authors:CHEN Yu-yan  WANG Xu  Lü Yi  YANG Dan
Affiliation:(School of Information Science & Engineering,Northeastern University,Shenyang 110819,China.)
Abstract:To analyze the sensitivity of brain magnetic induction tomography(MIT),a simple three-shell concentric circular head model was presented.The influences of hematomas conductivity,hematomas area,hematomas location and skull conductivity on the induced voltage of receiving coil were discussed,and the reconstructed image was obtained by using variation regularization method for three different hematomas locations.Simulation results showed that low conductivity of the skull had little effect on the induced voltage of the receiving coil.The location and size of hematomas could be reflected by the reconstructed image using the variation regularization method.Compared with the Tikhonov regularization method,the quality of the reconstructed image obtained using the variation regularization method was enhanced.So an effective method for brain magnetic induction tomography was introduced.
Keywords:magnetic induction tomography(MIT)  hematomas  induced voltage  variation regularization  Tikhonov regularization  reconstructed image
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