Surface-source modeling and estimation using biomagnetic measurements

Imam Şamil Yetik, Arye Nehorai, Carlos H. Muravchik, Jens Haueisen, Michael Eiselt

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We propose a number of electric source models that are spatially distributed on an unknown surface for biomagnetism. These can be useful to model, e.g., patches of electrical activity on the cortex. We use a realistic head (or another organ) model and discuss the special case of a spherical head model with radial sensors resulting in more efficient computations of the estimates for magnetoencephalography. We derive forward solutions, maximum likelihood (ML) estimates, and Cramér-Rao bound (CRB) expressions for the unknown source parameters. A model selection method is applied to decide on the most appropriate model. We also present numerical examples to compare the performances and computational costs of the different models and illustrate when it is possible to distinguish between surface and focal sources or line sources. Finally, we apply our methods to real biomagnetic data of phantom human torso and demonstrate the applicability of them.

Original languageEnglish
Pages (from-to)1872-1882
Number of pages11
JournalIEEE Transactions on Biomedical Engineering
Volume53
Issue number10
DOIs
StatePublished - Oct 2006

Keywords

  • Biomagnetic measurements
  • Magnetoencephalograph
  • Source localization
  • Spatially extended sources
  • Surface-source models

Fingerprint

Dive into the research topics of 'Surface-source modeling and estimation using biomagnetic measurements'. Together they form a unique fingerprint.

Cite this