Advances in morphology-based image post-processing techniques in the diagnosis and management of focal cortical dysplasia
10.3969/j.issn.1002-0152.2024.03.012
- VernacularTitle:基于形态学影像后处理技术在局灶性皮质发育不良诊治中的研究进展
- Author:
Ren WANG
1
;
Xiaoqiang WANG
;
Xuefeng SHI
;
Xinding ZHANG
Author Information
1. 兰州大学第二临床学院(兰州 730030)
- Keywords:
Focal cortical dysplasia;
Image post-processing technology;
MRI-positive;
MRI-negative;
Artificial neural network
- From:
Chinese Journal of Nervous and Mental Diseases
2024;50(3):178-182
- CountryChina
- Language:Chinese
-
Abstract:
Focal cortical dysplasia(FCD)is one of the most common etiologies leading to drug-resistant epilepsy(DRE),and its neuroimaging features are an important part of clinical evaluation.Only some types of FCD can show abnormalities on MRI,and there are still many difficulties in the diagnosis and treatment of MRI-negative FCD.Morphology-based image post-processing technology is developing rapidly,and various image post-processing tools to assist diagnosis and treatment,such as Matlab,3D slicer,SinoPlan,MRIcro,etc.,are increasingly favored by the majority of scholars in epilepsy surgery,which can not only strip and 3D reconstruct abnormal lesions shown by MRI,but also assist in the appearance of potential abnormal sites which are difficult to recognize with the naked eye.This has greatly improved the detection rate of FCD foci and further met the demand for accurate diagnosis and treatment of FCD,thereby creating new ideas and methods for the diagnosis and treatment of intractable epilepsy,and providing more references for more comprehensive and scientific clinical diagnosis and treatment.
