Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7568
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dc.contributorDepartment of Health Technology and Informatics-
dc.creatorFung, WWK-
dc.creatorWu, VWC-
dc.date.accessioned2015-07-22T06:58:36Z-
dc.date.available2015-07-22T06:58:36Z-
dc.identifier.issn1460-3969-
dc.identifier.urihttp://hdl.handle.net/10397/7568-
dc.language.isoenen_US
dc.subjectImage-guided RTen_US
dc.subjectTreatment verificationen_US
dc.subjectInter-fractional uncertaintiesen_US
dc.subjectComputed tomographyen_US
dc.titleImage-guided radiation therapy using computed tomography in radiotherapyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage121-
dc.identifier.epage136-
dc.identifier.volume10-
dc.identifier.issue2-
dc.identifier.doi10.1017/S1460396910000270-
dcterms.abstractThe sharp dose gradients in intensity-modulated radiation therapy increase the treatment sensitivity to various inter- and intra-fractional uncertainties, in which a slight anatomical change may greatly alter the actual dose delivered. Image-guided radiotherapy refers to the use of advanced imaging techniques to precisely track and correct these patient-specific variations in routine treatment. It can also monitor organ changes during a radiotherapy course. Currently, image-guided radiotherapy using computed tomography has gained much popularity in radiotherapy verification as it provides volumetric images with soft-tissue contrast for on-line tracking of tumour. This article reviews four types of computed tomography-based image guidance systems and their working principles. The system characteristics and clinical applications of the helical, megavoltage, computed tomography, and kilovoltage, cone-beam, computed tomography systems are discussed, given that they are currently the most commonly used systems for radiotherapy verification. This article also focuses on the recent techniques of soft-tissue contrast enhancement, digital tomosynthesis, four-dimensional fluoroscopic image guidance, and kilovoltage/megavoltage, in-line cone-beam imaging. These evolving systems are expected to take over the conventional two-dimensional verification system in the near future and provide the basis for implementing adaptive radiotherapy.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of radiotherapy in practice, 2011, v. 10, no. 2, p. 121-136-
dcterms.isPartOfJournal of radiotherapy in practice-
dcterms.issued2011-
dc.identifier.scopus2-s2.0-79960136709-
dc.identifier.rosgroupidr55541-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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