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<title><![CDATA[Progress on Image Reconstruction Methods for Electrical Capacitance Based Tomography:]]></title>
<subTitle><![CDATA[A Literature Review]]></subTitle>
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<name type="Personal Name" authority="">
<namePart>Nur Afny Catur Andriyani</namePart>
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<place><placeTerm type="text"><![CDATA[Depok]]></placeTerm></place>
<publisher><![CDATA[Universitas Indonesia]]></publisher>
<dateIssued><![CDATA[2015]]></dateIssued>
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<languageTerm type="code"><![CDATA[en]]></languageTerm>
<languageTerm type="text"><![CDATA[English]]></languageTerm>
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<note>In many industrial process, research progress on process tomography show the
capability development on providing more information about complex multi-phase flow
phenomena. The idea delivered on process tomography is capability on non-invasive monitoring,
continuously and simultaneously, the local and global dynamic behavior inside the sensing domain.
Electrical tomography, due to its many advantages; low cost, rapid response, portability, noninvasive and robustness, is considered to be the most promising technique for dynamic flow
imaging among all tomography modalities. One of those electrical tomography modalities is
electrical capacitance based tomography. The utilization of this type of tomography is no longer for
industrial process tomography only but also for medical tomography. Therefore, various research
have been done to improve the performance of Electrical Capacitance Tomography (ECT) and its
volumetric development, Electrical Capacitance Volume Tomography (ECVT). The proposed
improvements are not only on the tomography sensor design but also on the image reconstruction
algorithm. This paper presents the comprehensive literature study of Image Reconstruction
algorithm development on both ECT and ECVT, their significant differentiation and the potential
further studies.</note>
<subject authority=""><topic><![CDATA[Electrical Capacitance Tomograpgy]]></topic></subject>
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