Identifying Epileptic Source Location and Extent: An Iterative Sparse Electromagnetic Source Imaging Algorithm

Abbas Sohrabpour, Yunfeng Lu, Gregory A. Worrell, Bin He1

  • 1University of Minnesota

Details

Category

Contributed Papers (Oral)

Theme

BioMedical Imaging and Image Processing

Sessions

08:00 - 09:30 | Wed 17 Aug | Fantasia F | WeAT6

Electrical Source Imaging

Abstract

In this paper we have introduced a novel electromagnetic source imaging (ESI) technique and demonstrated its validity and excellent performance in imaging the location and extent of underlying epileptic sources in patients suffering from focal epilepsy. The proposed algorithm employs ideas from sparse signal processing literature and convex optimization theories to improve source imaging results obtained from scalp-recorded electroencephalogram (EEG). EEG source imaging results generally use subjective methods to determine the extent of the underlying brain activity. The proposed technique provides significant improvement in dealing with such shortcomings and eliminates the need for thresholding. The results of our computer simulations and clinical validation study demonstrate the excellent performance of the proposed algorithm and suggest it may become a useful tool for objectively determining the location and extent of focal epileptic activity in a noninvasive fashion.

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