Evaluation of cerebral perfusion heterogeneity by the electrical impedance tomography
The results demonstrated that the GI and AI effectively quantify the distribution of intracranial perfusion, demonstrating excellent validity and interindividual comparability, and the ability to detect abnormal cerebral perfusion heterogeneity.
Authors
- Zhenyu Ji (ORCID: https://orcid.org/0000-0002-8482-7261)
- Guangjun Gao (ORCID: https://orcid.org/0000-0001-5098-3306)
- Benyuan Liu (ORCID: https://orcid.org/0000-0002-7543-1054)
- Weice Wang (ORCID: https://orcid.org/0009-0003-5584-1210)
- Mingxu Zhu (ORCID: https://orcid.org/0009-0007-1574-4108)
- Yu Wang (ORCID: https://orcid.org/0000-0001-6896-6301)
- Junyao Li (ORCID: https://orcid.org/0000-0002-8437-1612)
- Xuetao Shi (ORCID: https://orcid.org/0000-0002-3552-9479)
- Weichen Li (ORCID: https://orcid.org/0000-0002-6998-9246)
- Lei Wang (ORCID: https://orcid.org/0009-0006-8680-3737)
Institutions
- Northwestern Polytechnical University (CN)
- Liaoning Technical University (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-11-13
- DOI
- https://doi.org/10.3389/fphys.2024.1476040
- Citations
- 2
- Primary Topic
- Electrical and Bioimpedance Tomography
- Type
- article
- Field-Weighted Citation Impact
- 0.42