Research Progress on Reducing Metal Artifacts in CT Imaging
Intracranial aneurysm embolization, oral metal implants, spinal internal fixation, hip replacement, and other metal implants are increasingly used in clinical practice. Metal artifacts generated by computed tomography (CT) images during the evaluation of patients after placement of metal implants wi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Editorial Office of Computerized Tomography Theory and Application
2025-05-01
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| Series: | CT Lilun yu yingyong yanjiu |
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| Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.023 |
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| _version_ | 1850151807135776768 |
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| author | Danyang SU Ping HOU Haoran ZHANG Yuanbo MA Jinlong LIU Xiaopeng YANG |
| author_facet | Danyang SU Ping HOU Haoran ZHANG Yuanbo MA Jinlong LIU Xiaopeng YANG |
| author_sort | Danyang SU |
| collection | DOAJ |
| description | Intracranial aneurysm embolization, oral metal implants, spinal internal fixation, hip replacement, and other metal implants are increasingly used in clinical practice. Metal artifacts generated by computed tomography (CT) images during the evaluation of patients after placement of metal implants will prevent CT images from clearly showing the metal–bone interface and the adjacent tissue structure, which affects the accuracy of doctors' diagnosis. With the development of CT, metal artifact reduction technology and virtual monoenergetic imaging technology are helpful to reduce metal artifacts in CT imaging. The emergence of deep learning reconstruction algorithms and photon counting CT provides a more reliable basis for the accurate evaluation of metal implants after surgery. This paper reviews the progress of research on reducing metal artifacts in CT imaging. |
| format | Article |
| id | doaj-art-ae5b7640cc0a457a9e63c13b8025f6a3 |
| institution | OA Journals |
| issn | 1004-4140 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Editorial Office of Computerized Tomography Theory and Application |
| record_format | Article |
| series | CT Lilun yu yingyong yanjiu |
| spelling | doaj-art-ae5b7640cc0a457a9e63c13b8025f6a32025-08-20T02:26:08ZengEditorial Office of Computerized Tomography Theory and ApplicationCT Lilun yu yingyong yanjiu1004-41402025-05-0134349950510.15953/j.ctta.2024.0232024.023Research Progress on Reducing Metal Artifacts in CT ImagingDanyang SUPing HOUHaoran ZHANGYuanbo MAJinlong LIUXiaopeng YANGIntracranial aneurysm embolization, oral metal implants, spinal internal fixation, hip replacement, and other metal implants are increasingly used in clinical practice. Metal artifacts generated by computed tomography (CT) images during the evaluation of patients after placement of metal implants will prevent CT images from clearly showing the metal–bone interface and the adjacent tissue structure, which affects the accuracy of doctors' diagnosis. With the development of CT, metal artifact reduction technology and virtual monoenergetic imaging technology are helpful to reduce metal artifacts in CT imaging. The emergence of deep learning reconstruction algorithms and photon counting CT provides a more reliable basis for the accurate evaluation of metal implants after surgery. This paper reviews the progress of research on reducing metal artifacts in CT imaging.https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.023deep learningct imagingmetal artifactmonoenergetic imagingphoton counting ct |
| spellingShingle | Danyang SU Ping HOU Haoran ZHANG Yuanbo MA Jinlong LIU Xiaopeng YANG Research Progress on Reducing Metal Artifacts in CT Imaging CT Lilun yu yingyong yanjiu deep learning ct imaging metal artifact monoenergetic imaging photon counting ct |
| title | Research Progress on Reducing Metal Artifacts in CT Imaging |
| title_full | Research Progress on Reducing Metal Artifacts in CT Imaging |
| title_fullStr | Research Progress on Reducing Metal Artifacts in CT Imaging |
| title_full_unstemmed | Research Progress on Reducing Metal Artifacts in CT Imaging |
| title_short | Research Progress on Reducing Metal Artifacts in CT Imaging |
| title_sort | research progress on reducing metal artifacts in ct imaging |
| topic | deep learning ct imaging metal artifact monoenergetic imaging photon counting ct |
| url | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.023 |
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