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Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)
Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study,...
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Published in: | IEEE transactions on medical imaging 2012-03, Vol.31 (3), p.525-532 |
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container_title | IEEE transactions on medical imaging |
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creator | Degirmenci, E. Eyuboglu, B. M. |
description | Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study, four novel anisotropic conductivity reconstruction algorithms are proposed to reconstruct high resolution conductivity tensor images. Performances of these four algorithms and a previously proposed algorithm are evaluated in several aspects and compared. |
doi_str_mv | 10.1109/TMI.2011.2171192 |
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Performances of these four algorithms and a previously proposed algorithm are evaluated in several aspects and compared.</description><subject>Algorithms</subject><subject>Anisotropic conductivity</subject><subject>Anisotropy</subject><subject>Computer Simulation</subject><subject>Conductivity</subject><subject>Current density</subject><subject>Density measurement</subject><subject>Electric Conductivity</subject><subject>Electric Impedance</subject><subject>electrical impedance</subject><subject>Electrodes</subject><subject>Equations</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image reconstruction</subject><subject>imaging</subject><subject>magnetic resonance</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mathematical model</subject><subject>Models, Biological</subject><subject>reconstruction</subject><subject>tensor</subject><subject>tomography</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkU1r20AQhpeSkjhp7oFAEb20PciZj92V9hhM0xriFoIOuQl5tTIK9m6ilQr5911jN4deeprDPO_LDI8QVwhzRDA31Wo5J0CcExaIht6JGSpV5qTk44mYARVlDqDpTJzH-ASAUoE5FWeExgAzzMTP5a7ZuOzB2eDjOEx27IPPep-tmo13Y2_TKgbfeOuyRfDtHvjdj69Z5XwMQ7aP936TfVk9LKrl1w_ifddso7s8zgtR3X2rFj_y-1_fl4vb-9xyUYy5IVCGO0q3SZCkuVNt24JjXnct2dKydJJUy2vWUiousTO8xrLQhpRt-UJ8PtQ-D-FlcnGsd320brttvAtTrI0usaSC-P8kaQWFZkjkp3_IpzANPn2RIGVQkcYEwQGyQ4hxcF39PPS7ZnitEeq9kjopqfdK6qOSFPl47J3WO9e-Bf46SMD1Aeidc29rDRKBif8A6wOMaw</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Degirmenci, E.</creator><creator>Eyuboglu, B. 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M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>2012-03</date><risdate>2012</risdate><volume>31</volume><issue>3</issue><spage>525</spage><epage>532</epage><pages>525-532</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study, four novel anisotropic conductivity reconstruction algorithms are proposed to reconstruct high resolution conductivity tensor images. 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subjects | Algorithms Anisotropic conductivity Anisotropy Computer Simulation Conductivity Current density Density measurement Electric Conductivity Electric Impedance electrical impedance Electrodes Equations Image Processing, Computer-Assisted - methods Image reconstruction imaging magnetic resonance Magnetic Resonance Imaging - methods Mathematical model Models, Biological reconstruction tensor tomography |
title | Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI) |
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