Conversion of EIT brain images for co-registration

David Mccormick; Hermann Scharfetter; Robert Merwa

doi:10.1007/978-3-540-73841-1_100

Conversion of EIT brain images for co-registration

David Mccormick
, Hermann Scharfetter (Editor)
, Robert Merwa (Editor)

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Electrical Impedance Tomography (EIT) has previously been used to image brain function in evoked responses. The EIT images are based on a realistic 3D FEM model of the head. It would be advantageous to co-register the EIT images onto anatomical images generated through another modality, therefore allowing for an overlay of the measured functional brain activity with a true representation of the head. For realistic models, the problem is computationally intensive due to discrepancies between the tetrahedral mesh of the EIT images and the cubic meshes of other image modalities. This paper introduces Confeitir; a Matlab-based program, pioneering a novel approach to map the tetrahedral based EIT data onto a new structured cubic mesh, providing the capability of co-registration with other image modalities.

Original language	English
Title of host publication	13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography
Editors	Hermann Scharfetter, Robert Merwa
Publisher	Springer Nature
Pages	384-387
Number of pages	3
Volume	17
ISBN (Print)	9783540738404
DOIs	https://doi.org/10.1007/978-3-540-73841-1_100
Publication status	Published - Sept 2007
Event	13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography 2007, ICEBI 2007 - Graz Duration: 1 Jul 2007 → …

Conference

Conference	13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography 2007, ICEBI 2007
City	Graz
Period	1/07/07 → …

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10.1007/978-3-540-73841-1_100

Cite this

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title = "Conversion of EIT brain images for co-registration",

abstract = "Electrical Impedance Tomography (EIT) has previously been used to image brain function in evoked responses. The EIT images are based on a realistic 3D FEM model of the head. It would be advantageous to co-register the EIT images onto anatomical images generated through another modality, therefore allowing for an overlay of the measured functional brain activity with a true representation of the head. For realistic models, the problem is computationally intensive due to discrepancies between the tetrahedral mesh of the EIT images and the cubic meshes of other image modalities. This paper introduces Confeitir; a Matlab-based program, pioneering a novel approach to map the tetrahedral based EIT data onto a new structured cubic mesh, providing the capability of co-registration with other image modalities.",

author = "David Mccormick and Hermann Scharfetter and Robert Merwa",

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doi = "10.1007/978-3-540-73841-1\_100",

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editor = "Hermann Scharfetter and Robert Merwa",

booktitle = "13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography",

publisher = "Springer Nature",

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note = "13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography 2007, ICEBI 2007 ; Conference date: 01-07-2007",

}

Mccormick, D, Scharfetter, H (ed.) & Merwa, R (ed.) 2007, Conversion of EIT brain images for co-registration. in H Scharfetter & R Merwa (eds), 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography. vol. 17, Springer Nature, pp. 384-387, 13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography 2007, ICEBI 2007, Graz, 1/07/07. https://doi.org/10.1007/978-3-540-73841-1_100

Conversion of EIT brain images for co-registration. / Mccormick, David; Scharfetter, Hermann (Editor); Merwa, Robert (Editor).
13th International Conference on Electrical Bioimpedance and the 8th Conference on Electrical Impedance Tomography. ed. / Hermann Scharfetter; Robert Merwa. Vol. 17 Springer Nature, 2007. p. 384-387.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Conversion of EIT brain images for co-registration

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AB - Electrical Impedance Tomography (EIT) has previously been used to image brain function in evoked responses. The EIT images are based on a realistic 3D FEM model of the head. It would be advantageous to co-register the EIT images onto anatomical images generated through another modality, therefore allowing for an overlay of the measured functional brain activity with a true representation of the head. For realistic models, the problem is computationally intensive due to discrepancies between the tetrahedral mesh of the EIT images and the cubic meshes of other image modalities. This paper introduces Confeitir; a Matlab-based program, pioneering a novel approach to map the tetrahedral based EIT data onto a new structured cubic mesh, providing the capability of co-registration with other image modalities.

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Conversion of EIT brain images for co-registration

Abstract

Conference

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