The role of 4D flow MRI in deep vein thrombosis research
Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research aims to explore the role of 4D flow MRI in advancing our understanding of Deep Vein Thrombosis (DVT),...
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| Published in | Meta-radiology Vol. 3; no. 1; p. 100123 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
01.03.2025
KeAi Communications Co., Ltd |
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| Abstract | Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research aims to explore the role of 4D flow MRI in advancing our understanding of Deep Vein Thrombosis (DVT), covering its applications in diagnosing, characterizing and mechanism of DVT, as well as its potential for guiding treatment strategies. The qualitative and quantitative information provided by 4D flow MRI enables a comprehensive assessment of blood flow in different vascular regions, shedding light on the relationship between hemodynamic changes and the onset and progression of vascular diseases. Nevertheless, most quantitative research findings for 4D hemodynamic indicators are lacking, and their use is mainly limited to examining arterial conditions. More exploration will be necessary to determine their applicability in studying venous vessels.
•4D flow MRI enables non-invasive 3D hemodynamic analysis in deep vein thrombosis (DVT) research.•Machine learning enhances 4D flow MRI resolution and accuracy for DVT studies.•Dynamic blood flow patterns from 4D MRI could link to thrombus formation and risks.•Technical complexity and high costs limit clinical use of 4D flow MRI. |
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| AbstractList | Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research aims to explore the role of 4D flow MRI in advancing our understanding of Deep Vein Thrombosis (DVT), covering its applications in diagnosing, characterizing and mechanism of DVT, as well as its potential for guiding treatment strategies. The qualitative and quantitative information provided by 4D flow MRI enables a comprehensive assessment of blood flow in different vascular regions, shedding light on the relationship between hemodynamic changes and the onset and progression of vascular diseases. Nevertheless, most quantitative research findings for 4D hemodynamic indicators are lacking, and their use is mainly limited to examining arterial conditions. More exploration will be necessary to determine their applicability in studying venous vessels. Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research aims to explore the role of 4D flow MRI in advancing our understanding of Deep Vein Thrombosis (DVT), covering its applications in diagnosing, characterizing and mechanism of DVT, as well as its potential for guiding treatment strategies. The qualitative and quantitative information provided by 4D flow MRI enables a comprehensive assessment of blood flow in different vascular regions, shedding light on the relationship between hemodynamic changes and the onset and progression of vascular diseases. Nevertheless, most quantitative research findings for 4D hemodynamic indicators are lacking, and their use is mainly limited to examining arterial conditions. More exploration will be necessary to determine their applicability in studying venous vessels. •4D flow MRI enables non-invasive 3D hemodynamic analysis in deep vein thrombosis (DVT) research.•Machine learning enhances 4D flow MRI resolution and accuracy for DVT studies.•Dynamic blood flow patterns from 4D MRI could link to thrombus formation and risks.•Technical complexity and high costs limit clinical use of 4D flow MRI. |
| ArticleNumber | 100123 |
| Author | Hu, Muhua Xiong, Li Wu, Shangjie He, Pei Liang, Xiao Gao, Chuanqi Li, Meizhi Jia, Tingting Chen, Zhu |
| Author_xml | – sequence: 1 givenname: Meizhi orcidid: 0000-0003-4865-3097 surname: Li fullname: Li, Meizhi organization: Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, China – sequence: 2 givenname: Shangjie surname: Wu fullname: Wu, Shangjie organization: Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital of Central South University, Changsha, China – sequence: 3 givenname: Xiao orcidid: 0009-0007-6881-4210 surname: Liang fullname: Liang, Xiao organization: Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, China – sequence: 4 givenname: Chuanqi orcidid: 0009-0004-1534-4831 surname: Gao fullname: Gao, Chuanqi organization: Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, China – sequence: 5 givenname: Muhua orcidid: 0009-0008-8562-2939 surname: Hu fullname: Hu, Muhua organization: Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, China – sequence: 6 givenname: Zhu surname: Chen fullname: Chen, Zhu organization: Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China – sequence: 7 givenname: Pei surname: He fullname: He, Pei email: pei.he@csu.edu.cn organization: Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, China – sequence: 8 givenname: Tingting orcidid: 0000-0002-1226-7488 surname: Jia fullname: Jia, Tingting email: jttsiwang@163.com organization: National Engineering Research Center for Medical Big Data Application Technology, and Big Data Institute, Central South University, Changsha, China – sequence: 9 givenname: Li surname: Xiong fullname: Xiong, Li email: lixionghn@163.com organization: General Surgery Department of Second Xiangya Hospital, Central South University, Changsha, China |
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| Keywords | Deep vein thrombosis 4D flow MRI Image analysis algorithms Noninvasive imaging |
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| Title | The role of 4D flow MRI in deep vein thrombosis research |
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