Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography

Xue Wu; Adam T. Eggebrecht; Joseph P. Culver; Yuxuan Zhan; Hector Basevi; Hamid Dehghani

doi:10.1117/12.2033277

Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography

Xue Wu, Adam T. Eggebrecht, Joseph P. Culver, Yuxuan Zhan, Hector Basevi, Hamid Dehghani

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

Abstract

In Diffuse Optical Tomography (DOT), an atlas-based model can be used as an alternative to a subject-specific anatomical model for recovery of brain activity. The main step of the generation of atlas-based subject model is the registration of atlas model to the subject head. The accuracy of the DOT then relies on the accuracy of registration method. In this work, 11 registration methods are quantitatively evaluated. The registration method with EEG 10/20 systems with 19 landmarks and non-iterative point to point algorithm provides approximately 1.4 mm surface error and is considered as the most efficient registration method.

Original language	English
Title of host publication	Diffuse Optical Imaging IV
DOIs	https://doi.org/10.1117/12.2033277
State	Published - 2013
Event	Diffuse Optical Imaging IV - Munich, Germany Duration: May 12 2013 → May 14 2013

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	8799
ISSN (Print)	1605-7422

Conference

Conference	Diffuse Optical Imaging IV
Country/Territory	Germany
City	Munich
Period	05/12/13 → 05/14/13

Keywords

Atlas-based model
Diffuse optical tomography
Registration

Access to Document

10.1117/12.2033277

Cite this

@inproceedings{4fc506ad1db148e1a8a3601e91c4accf,

title = "Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography",

abstract = "In Diffuse Optical Tomography (DOT), an atlas-based model can be used as an alternative to a subject-specific anatomical model for recovery of brain activity. The main step of the generation of atlas-based subject model is the registration of atlas model to the subject head. The accuracy of the DOT then relies on the accuracy of registration method. In this work, 11 registration methods are quantitatively evaluated. The registration method with EEG 10/20 systems with 19 landmarks and non-iterative point to point algorithm provides approximately 1.4 mm surface error and is considered as the most efficient registration method.",

keywords = "Atlas-based model, Diffuse optical tomography, Registration",

author = "Xue Wu and Eggebrecht, {Adam T.} and Culver, {Joseph P.} and Yuxuan Zhan and Hector Basevi and Hamid Dehghani",

year = "2013",

doi = "10.1117/12.2033277",

language = "English",

isbn = "9780819496485",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Diffuse Optical Imaging IV",

note = "Diffuse Optical Imaging IV ; Conference date: 12-05-2013 Through 14-05-2013",

}

Wu, X, Eggebrecht, AT , Culver, JP, Zhan, Y, Basevi, H & Dehghani, H 2013, Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography. in Diffuse Optical Imaging IV., 87990F, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8799, Diffuse Optical Imaging IV, Munich, Germany, 05/12/13. https://doi.org/10.1117/12.2033277

Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography. / Wu, Xue; Eggebrecht, Adam T.; Culver, Joseph P. et al.
Diffuse Optical Imaging IV. 2013. 87990F (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8799).

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

TY - GEN

T1 - Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography

AU - Wu, Xue

AU - Eggebrecht, Adam T.

AU - Culver, Joseph P.

AU - Zhan, Yuxuan

AU - Basevi, Hector

AU - Dehghani, Hamid

PY - 2013

Y1 - 2013

N2 - In Diffuse Optical Tomography (DOT), an atlas-based model can be used as an alternative to a subject-specific anatomical model for recovery of brain activity. The main step of the generation of atlas-based subject model is the registration of atlas model to the subject head. The accuracy of the DOT then relies on the accuracy of registration method. In this work, 11 registration methods are quantitatively evaluated. The registration method with EEG 10/20 systems with 19 landmarks and non-iterative point to point algorithm provides approximately 1.4 mm surface error and is considered as the most efficient registration method.

AB - In Diffuse Optical Tomography (DOT), an atlas-based model can be used as an alternative to a subject-specific anatomical model for recovery of brain activity. The main step of the generation of atlas-based subject model is the registration of atlas model to the subject head. The accuracy of the DOT then relies on the accuracy of registration method. In this work, 11 registration methods are quantitatively evaluated. The registration method with EEG 10/20 systems with 19 landmarks and non-iterative point to point algorithm provides approximately 1.4 mm surface error and is considered as the most efficient registration method.

KW - Atlas-based model

KW - Diffuse optical tomography

KW - Registration

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U2 - 10.1117/12.2033277

DO - 10.1117/12.2033277

M3 - Conference contribution

AN - SCOPUS:84881156904

SN - 9780819496485

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Diffuse Optical Imaging IV

T2 - Diffuse Optical Imaging IV

Y2 - 12 May 2013 through 14 May 2013

ER -

Quantitative evaluation of registration methods for atlas-based Diffuse Optical Tomography

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Conference

Keywords

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