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dc.contributor.authorSchafers, Klaus P.
dc.contributor.authorKesner, Adam L.
dc.contributor.authorWalter, Martin A.
dc.contributor.authorKoo, Phillip J.
dc.contributor.authorSchleyer, Paul J.
dc.contributor.authorButher, Florian
dc.coverage.spatialAurora, (Colo.)
dc.date2014-06-17
dc.date.accessioned2007-01-03T06:25:08Z
dc.date.available2007-01-03T06:25:08Z
dc.descriptionIncludes bibliographical references.
dc.descriptionPositron emission tomography (PET) is increasingly used for the detection, characterization, and follow-up of tumors located in the thorax. However, patient respiratory motion presents a unique limitation that hinders the application of high-resolution PET technology for this type of imaging. Efforts to transcend this limitation have been underway for more than a decade, yet PET remains for practical considerations a modality vulnerable to motion-induced image degradation. Respiratory motion control is not employed in routine clinical operation. In this article, we take an opportunity to highlight some of the recent advancements in data-driven motion control strategies and how they may form an underpinning for what we are presenting as a fully automated data-driven motion control framework. This framework represents an alternative direction for future endeavors in motion control and can conceptually connect individual focused studies with a strategy for addressing big picture challenges and goals.
dc.identifierCUHSLOAP_M103.pdf
dc.identifier.citationKesner, Adam L., Schafers, Klaus P., Walter, Martin A., Koo, Phillip J., Schleyer, Paul J., Buther, Florian, On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework. EJNMMI Physics 2014, 1:8. doi:10.1186/2197-7364-1-8
dc.identifier.urihttp://hdl.handle.net/10968/617
dc.identifier.urihttp://dx.doi.org/doi:10.1186/2197-7364-1-8
dc.languageEnglish
dc.publisherUniversity of Colorado Anschutz Medical Campus. Strauss Health Sciences Library
dc.publisher.originalEJNMMI Physics, a SpringerOpen Journal
dc.relation.isformatofPrint #M103. On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework. 17 June 2014
dc.relation.ispartofHealth Sciences Library Photograph Collection and Special Collections, University of Colorado, Anschutz Medical Campus; Publications.
dc.rightsCopyright of the original work is retained by the author(s). This article was created with the support of the Open Access Fund Program, formerly available through the Strauss Health Sciences Library, an initiative that helped to finance the author processing fees of OA journals.
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
dc.subjectMotion correction
dc.subjectMotion control framework
dc.subjectSignal optimization
dc.subject.meshRespiratory-Gated Imaging Techniques
dc.subject.meshPositron-Emission Tomography
dc.titleOn transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework
dc.typeArticle


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