Quantitative modeling of lenticulostriate arteries on 7-T TOF-MRA for cerebral small vessel disease
The morphology of LSAs is important in the diagnosis of CSVD but difficult to quantify. The proposed algorithm achieved the performance equivalent to manual labeling by neurologists. Our method can provide standardized quantitative results, reducing radiologists' workload in cohort studies.
Authors
- Rong Xue (ORCID: https://orcid.org/0000-0001-7055-4939)
- Yun Yuan (ORCID: https://orcid.org/0000-0003-3282-9123)
- Zihao Zhang (ORCID: https://orcid.org/0000-0001-9286-8189)
- Ling Chen (ORCID: https://orcid.org/0000-0002-6909-9606)
- Li Bai (ORCID: https://orcid.org/0000-0003-4391-2248)
- Jinyuan Zhang (ORCID: https://orcid.org/0000-0002-5072-4934)
- Zhixin Li (ORCID: https://orcid.org/0000-0002-5462-4084)
- Yue Wu (ORCID: https://orcid.org/0000-0003-1061-4607)
- Zhe Wang (ORCID: https://orcid.org/0000-0003-1032-2743)
- Dongbiao Sun
- Yan Zhuo (ORCID: https://orcid.org/0000-0002-7806-9898)
- Zhaoxia Wang
Institutions
- Capital Medical University (CN)
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- Institute of Biophysics (CN)
- Peking University First Hospital (CN)
- National Science Centre (PL)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1186/s41747-024-00512-7
- Citations
- 1
- Primary Topic
- Cerebrovascular and genetic disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.37
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Ministry of Science and Technology of the People's Republic of China
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Youth Innovation Promotion Association