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dc.contributor.authorLi, Chengxi
dc.contributor.authorZhu, Andrew
dc.date.accessioned2020-05-29T14:51:47Z
dc.date.available2020-05-29T14:51:47Z
dc.date.issued2020-02-09
dc.date.submitted2020-01
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/1721.1/125576
dc.description.abstractWith the accelerated development of medical imaging equipment and techniques, image fusion technology has been effectively applied for diagnosis, biopsy and radiofrequency ablation, especially for liver tumor. Tumor treatment relying on a single medical imaging modality might face challenges, due to the deep positioning of the lesions, operation history and the specific background conditions of the liver disease. Image fusion technology has been employed to address these challenges. Using the image fusion technology, one could obtain real-time anatomical imaging superimposed by functional images showing the same plane to facilitate the diagnosis and treatments of liver tumors. This paper presents a review of the key principles of image fusion technology, its application in tumor treatments, particularly in liver tumors, and concludes with a discussion of the limitations and prospects of the image fusion technology. Keywords: medical image methods; liver cancer diagnosis and treatment; image fusionen_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionof10.3390/app10031171en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleApplication of image fusion in diagnosis and treatment of liver canceren_US
dc.typeArticleen_US
dc.identifier.citationLi, Chengxi, and Andrew Zhu, "Application of image fusion in diagnosis and treatment of liver cancer." Applied Sciences 10, 3 (2020): no. 1171 doi 10.3390/app10031171 ©2020 Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalApplied Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-03-02T13:02:29Z
dspace.date.submission2020-03-02T13:02:29Z
mit.journal.volume10en_US
mit.journal.issue3en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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