Literature DB >> 7729841

Coordinate system matching for neuromagnetic and morphological reconstruction overlay.

M Fuchs1, H A Wischmann, M Wagner, J Krüger.   

Abstract

The overlay of functional and morphological images is an essential tool for advanced and improved functional diagnosis showing the correlation between spatial structures or lesions and functional areas. We present an improved coordinate system matching technique. The well known method of three orthogonal coils combined in one coilset for an angular-independent measure is validated for the use of first- or higher order gradiometers instead of magnetometers. The coilset localization procedure was modified with lock-in detection and current feedback for better long range sensitivity. Real measurements with the 31-channel Philips-MEG system have been carried out. A very good localization accuracy below the measuring area with deviations below 2 mm was found. For coordinate system matching, a 3-D cursor with surface images from segmented MR-data was implemented and an optimized, weighted least squares fit transformation algorithm between functional and morphological systems was developed. The resulting transformations consist of weighted shifts and best-fit rotations and lead to deviations of marker positions in the mm range, depending mainly on the spatial accuracy of the marker fixation.

Mesh:

Year:  1995        PMID: 7729841     DOI: 10.1109/10.376136

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Methods for the computational localization of atrio-ventricular pre-excitation syndromes.

Authors:  U Leder; J Haueisen; P Pohl; F M Malur; J P Heyne; V Baier; H R Figulla
Journal:  Int J Cardiovasc Imaging       Date:  2001-04       Impact factor: 2.357

2.  Localization of late potential sources in myocardial infarction.

Authors:  U Leder; J Haueisen; P Pohl; R Surber; J P Heyne; H Nowak; H R Figulla
Journal:  Int J Cardiovasc Imaging       Date:  2001-08       Impact factor: 2.357

3.  Head movements of children in MEG: quantification, effects on source estimation, and compensation.

Authors:  Daniel T Wehner; Matti S Hämäläinen; Maria Mody; Seppo P Ahlfors
Journal:  Neuroimage       Date:  2008-02-05       Impact factor: 6.556

4.  Faster and improved 3-D head digitization in MEG using Kinect.

Authors:  Santosh Vema Krishna Murthy; Matthew MacLellan; Steven Beyea; Timothy Bardouille
Journal:  Front Neurosci       Date:  2014-10-28       Impact factor: 4.677

  4 in total

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