Research progress of medical image post-processing techniques based on computer in localization of epileptogenic zone in epilepsy patients
10.13929/j.1672-8475.201810027
- Author:
Kan DENG
1
Author Information
1. School of Biomedical Engineering, Health Science Center, Shenzhen University
- Publication Type:Journal Article
- Keywords:
Epilepsy;
Localization;
Machine learning;
Magnetic resonance imaging
- From:
Chinese Journal of Interventional Imaging and Therapy
2019;16(5):315-319
- CountryChina
- Language:Chinese
-
Abstract:
About 30%-40% of patients with epilepsy remain medically intractable and may be considered as candidates for surgical treatment. Precise localization of the epileptogenic zone (EZ) through comprehensive presurgical evaluations is crucial for achieving good outcome. However, currently the interpretation of neuroimaging relies immensely on clinicians' experience, which is subjective and time-consuming. In order to improve the accuracy of EZ localization, medical image post-processing techniques have been applied. The results indicated that post-processing techniques have the advantages of identifying subtle abnormalities in brain structure and function objectively and precisely, thus may provide an accurate and effective solution for EZ localization. The advancements of existing medical image post-processing methods used in EZ localization were reviewed in this article.
