Identifying epilepsy based on machine-learning technique with diffusion kurtosis tensor.

ABSTRACT:

Introduction

Epilepsy is a serious hazard to human health. Minimally invasive surgery is an extremely effective treatment to refractory epilepsy currently if the location of epileptic foci is given. However, it is challenging to locate the epileptic foci since a multitude of patients are MRI-negative. It is well known that DKI (diffusion kurtosis imaging) can analyze the pathological changes of local tissues and other regions of epileptic foci at the molecular level. In this article, we propose a new localization way for epileptic foci based on machine-learning method with kurtosis tensor in DKI.

Methods

We recruited 59 children with hippocampus epilepsy and 70 age- and sex-matched normal controls; their T1-weighted images and DKI were collected simultaneously. Then, the hip

SUBMITTER: Kang L 

PROVIDER: S-EPMC8841295 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature