Application of image fusion in diagnosis and treatment of liver cancer
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...
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | https://hdl.handle.net/1721.1/125576 |
| _version_ | 1826189740049694720 |
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| author | Li, Chengxi Zhu, Andrew |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Li, Chengxi Zhu, Andrew |
| author_sort | Li, Chengxi |
| collection | MIT |
| description | 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 |
| first_indexed | 2024-09-23T08:20:19Z |
| format | Article |
| id | mit-1721.1/125576 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T08:20:19Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1255762022-09-23T12:25:33Z Application of image fusion in diagnosis and treatment of liver cancer Li, Chengxi Zhu, Andrew Massachusetts Institute of Technology. Department of Mechanical Engineering 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 2020-05-29T14:51:47Z 2020-05-29T14:51:47Z 2020-02-09 2020-01 2020-03-02T13:02:29Z Article http://purl.org/eprint/type/JournalArticle 2076-3417 https://hdl.handle.net/1721.1/125576 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) 10.3390/app10031171 Applied Sciences Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Li, Chengxi Zhu, Andrew Application of image fusion in diagnosis and treatment of liver cancer |
| title | Application of image fusion in diagnosis and treatment of liver cancer |
| title_full | Application of image fusion in diagnosis and treatment of liver cancer |
| title_fullStr | Application of image fusion in diagnosis and treatment of liver cancer |
| title_full_unstemmed | Application of image fusion in diagnosis and treatment of liver cancer |
| title_short | Application of image fusion in diagnosis and treatment of liver cancer |
| title_sort | application of image fusion in diagnosis and treatment of liver cancer |
| url | https://hdl.handle.net/1721.1/125576 |
| work_keys_str_mv | AT lichengxi applicationofimagefusionindiagnosisandtreatmentoflivercancer AT zhuandrew applicationofimagefusionindiagnosisandtreatmentoflivercancer |