Keywords: Epilepsy, Segmentation, Automatic Temporal Subregion Segmentation
Motivation: Accurately identifying the range of white matter (WM) involved in epileptogenic lesions of temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is crucial prior to surgery. However, previous studies have been limited in their analysis of temporal lobe subregions due to technical constraints.
Goal(s): Determine the extent of WM damage in TLE temporal lobe subregions to provide more imaging basis for preoperative evaluation and clinical surgical method selection.
Approach: FreeSurfer software was used to perform whole-brain WM segmentation on 3D T1WI images.
Results: There are differences in the extent of WM damage in temporal lobe subregions between with left TLE-HS and right TLE-HS.
Impact: Automatic brain segmentation technology can be utilized to assess the degree of white matter damage in the subregions of the temporal lobe in patients with TLE-HS. Furthermore, this technology holds potential for investigating various other brain disorders.
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