dc.contributor.author | Li, Chengxi | |
dc.contributor.author | Zhu, Andrew | |
dc.date.accessioned | 2020-05-29T14:51:47Z | |
dc.date.available | 2020-05-29T14:51:47Z | |
dc.date.issued | 2020-02-09 | |
dc.date.submitted | 2020-01 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125576 | |
dc.description.abstract | With 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 fusion | en_US |
dc.publisher | Multidisciplinary Digital Publishing Institute | en_US |
dc.relation.isversionof | 10.3390/app10031171 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Multidisciplinary Digital Publishing Institute | en_US |
dc.title | Application of image fusion in diagnosis and treatment of liver cancer | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Li, 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.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.relation.journal | Applied Sciences | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-03-02T13:02:29Z | |
dspace.date.submission | 2020-03-02T13:02:29Z | |
mit.journal.volume | 10 | en_US |
mit.journal.issue | 3 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |