EMBRIOSS: ELECTROMAGNETIC BRAIN IMAGING BY OPTIMIZATION IN SPECTRAL SPACE

EMBRIOSS: ELECTROMAGNETIC BRAIN IMAGING BY OPTIMIZATION IN SPECTRAL SPACE

We propose a new method called electromagnetic brain imaging by optimization in spectral space (EMBRIOSS) for electromagnetic source imaging of the human brain. The method incorporates the physiological knowledge that electrical activities in the brain are spatially coherent and often sparse. For sp...

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Bibliographic Details
Published in:2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1024 - 1027
Main Authors: Vadakkumpadan, F., Yinlong Sun
Format: Conference Proceeding
Language:English
Published: 01-04-2007
Subjects:
Biomedical imaging
Brain modeling
Electroencephalography
Gain measurement
Humans
Linear systems
Magnetic field measurement
Noise measurement
Sensor systems
Spatial coherence
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Summary:We propose a new method called electromagnetic brain imaging by optimization in spectral space (EMBRIOSS) for electromagnetic source imaging of the human brain. The method incorporates the physiological knowledge that electrical activities in the brain are spatially coherent and often sparse. For spatial coherency, we confine the solution to a subspace spanned by the low-frequency eigenvectors of a Laplacian of the cortical surface mesh. For sparseness, we apply a p-norm regularization with p < 2. The resulting nonlinear regularization problem is solved efficiently using half-quadratic programming. Through realistic simulations, we have compared our method with existing approaches. The results show that our method performs better
ISBN:1424406714
9781424406715
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2007.357029