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- W4386901459 abstract "Source signal reconstruction from MEG/EEG sensor recordings requires co-registration of the 3D digitised head and sensor information to the brain MRI scan. Fiducial-based alignment and surface-fitting approaches are widely used for this co-registration procedure. The fiducial-based co-registration approach is simple and faster. In contrast, the surface-fitting approach may give poor co-registration in the case of spherical or quasi-spherical surfaces like a head surface. However, the surface-fitting approach, e.g. interactive closest point (ICP) algorithm, is extensively used in the current practice. We evaluated the fiducial- and ICP-based co-registration approaches’ performance through simulations. In the present work, we also used one more fiducial point, a nasolabial angle, in addition to commonly used fiducial points such as nasion, left and right pre-auricular points for fiducial-based registration. Fiducial-based co-registration showed comparable or better performance than ICP-based co-registration while considering fiducial points digitisation error in magnitude of up to 5 mm. The addition of the fourth fiducial point, e.g. the nasolabial angle, improved the performance of the fiducial-based co-registration. Moreover, objective registration error, a cost function for the ICP-based approach, showed a weak correlation (correlation coefficient < 0.25) to the co-registration error. Fiducial-based approach with four fiducial points is simple, faster and better than the commonly used ICP-based approach for co-registering digitised head information to the brain MRI scan." @default.
- W4386901459 created "2023-09-21" @default.
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- W4386901459 date "2023-01-01" @default.
- W4386901459 modified "2023-09-27" @default.
- W4386901459 title "Co-registration of the Digitised Sensor Information and the Brain MRI Scan for Electrical Source Imaging: Fiducial-Based Alignment Versus ICP-Based Approach" @default.
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- W4386901459 doi "https://doi.org/10.1007/978-981-99-4284-8_38" @default.
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