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dc.contributor.authorPeterlik, I.
dc.contributor.authorJirik, R.
dc.contributor.authorRuiter, N.
dc.contributor.authorJan, J.
dc.date.accessioned2016-03-18T10:36:30Z
dc.date.available2016-03-18T10:36:30Z
dc.date.issued2008-06cs
dc.identifier.citationRadioengineering. 2008, vol. 17, č. 2, s. 125-132. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57204
dc.description.abstractThe paper is focused on ultrasonic transmission tomography as a potential medical imaging modality, namely for breast cancer diagnosis. Ultrasound attenuation coefficient is one of the tissue parameters which are related to the pathological tissue state. A technique to reconstruct images of attenuation distribution is presented. Furthermore, an alternative to the commonly used filtered backprojection or algebraic reconstruction techniques is proposed. It is based on regularization of the image reconstruction problem which imposes smoothness in the resulting images while preserving edges. The approach is analyzed on synthetic data sets. The results show that it stabilizes the image restoration by compensating for main sources of estimation errors in this imaging modality.en
dc.formattextcs
dc.format.extent125-132cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2008/08_02_125_132.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectUltrasounden
dc.subjecttransmission tomographyen
dc.subjectalgebraic reconstruction techniquesen
dc.subjectregularizationen
dc.titleRegularized Image Reconstruction for Ultrasound Attenuation Transmission Tomographyen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume17cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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