A new methodology for detecting source number

Tianhu Lei; Timothy P. L. Roberts

doi:10.1117/12.879143

9 March 2011 A new methodology for detecting source number

Tianhu Lei, Timothy P. L. Roberts

Proceedings Volume 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging; 796514 (2011) https://doi.org/10.1117/12.879143
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Current methods for detecting source number in magnetic source image (MSI) have some shortcomings: i) they are somewhat subjective, ii) various MSIs employ different indexes, and iii) the number of the potential sources in MSI via Beamforming may be underestimated. The new approach extracts a principal component from each trial which serves as a (one) representative virtual channel for that trial. Principal components from all trials are combined to form a (one) synthesized trial. The information criterion is applied to this synthesized trial to select an optimal estimate of the source number. PCA reduces noise and captures the greatest variability in each trial, the synthesized trial reduces data fluctuations among trials and also reduces the dimensions of the covariance matrix. The approach is entirely data-driven and is suitable for detecting seizures and interictal spikes in epilepsy patients.

Citation Download Citation

Tianhu Lei and Timothy P. L. Roberts "A new methodology for detecting source number", Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 796514 (9 March 2011); https://doi.org/10.1117/12.879143

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