Enhancement of Diffusion Orientation Distribution Reconstruction in Q-Ball Imaging by Single Channel ICA

Min Jing, TM McGinnity, SA Coleman, Huaizhong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a single channel independent component analysis(sICA) is incorporated with Q-ball imaging (QBI) to enhance theperformance of diffusion orientation distribution function (dODF) reconstructionin diffusion weighted MRI (DW-MRI). In the proposed approach,the sICA is employed to decompose a dODF initially estimatedby analytical QBI. The initial estimated dODF is considered as a mixedsignal containing noise, artifacts and the desired “true” ODF to be extractedby sICA. The results from the numerical simulation demonstratethat the proposed sICA framework not only successfully separate thedesired ODF from the noisy data, but also achieves better angular resolutionthan analytical QBI and spherical deconvolution (SD).
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages174-183
Number of pages10
Publication statusPublished - 31 Aug 2011
EventIrish Conference on Artificial Intelligence and Cognitive Science - Londonderry
Duration: 31 Aug 2011 → …

Conference

ConferenceIrish Conference on Artificial Intelligence and Cognitive Science
Period31/08/11 → …

Fingerprint

Independent component analysis
Distribution functions
Imaging techniques
Deconvolution
Magnetic resonance imaging
Computer simulation

Cite this

@inproceedings{6a8e11233ac04f04a825158fddf79747,
title = "Enhancement of Diffusion Orientation Distribution Reconstruction in Q-Ball Imaging by Single Channel ICA",
abstract = "In this paper, a single channel independent component analysis(sICA) is incorporated with Q-ball imaging (QBI) to enhance theperformance of diffusion orientation distribution function (dODF) reconstructionin diffusion weighted MRI (DW-MRI). In the proposed approach,the sICA is employed to decompose a dODF initially estimatedby analytical QBI. The initial estimated dODF is considered as a mixedsignal containing noise, artifacts and the desired “true” ODF to be extractedby sICA. The results from the numerical simulation demonstratethat the proposed sICA framework not only successfully separate thedesired ODF from the noisy data, but also achieves better angular resolutionthan analytical QBI and spherical deconvolution (SD).",
author = "Min Jing and TM McGinnity and SA Coleman and Huaizhong Zhang",
year = "2011",
month = "8",
day = "31",
language = "English",
pages = "174--183",
booktitle = "Unknown Host Publication",

}

Jing, M, McGinnity, TM, Coleman, SA & Zhang, H 2011, Enhancement of Diffusion Orientation Distribution Reconstruction in Q-Ball Imaging by Single Channel ICA. in Unknown Host Publication. pp. 174-183, Irish Conference on Artificial Intelligence and Cognitive Science, 31/08/11.

Enhancement of Diffusion Orientation Distribution Reconstruction in Q-Ball Imaging by Single Channel ICA. / Jing, Min; McGinnity, TM; Coleman, SA; Zhang, Huaizhong.

Unknown Host Publication. 2011. p. 174-183.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Enhancement of Diffusion Orientation Distribution Reconstruction in Q-Ball Imaging by Single Channel ICA

AU - Jing, Min

AU - McGinnity, TM

AU - Coleman, SA

AU - Zhang, Huaizhong

PY - 2011/8/31

Y1 - 2011/8/31

N2 - In this paper, a single channel independent component analysis(sICA) is incorporated with Q-ball imaging (QBI) to enhance theperformance of diffusion orientation distribution function (dODF) reconstructionin diffusion weighted MRI (DW-MRI). In the proposed approach,the sICA is employed to decompose a dODF initially estimatedby analytical QBI. The initial estimated dODF is considered as a mixedsignal containing noise, artifacts and the desired “true” ODF to be extractedby sICA. The results from the numerical simulation demonstratethat the proposed sICA framework not only successfully separate thedesired ODF from the noisy data, but also achieves better angular resolutionthan analytical QBI and spherical deconvolution (SD).

AB - In this paper, a single channel independent component analysis(sICA) is incorporated with Q-ball imaging (QBI) to enhance theperformance of diffusion orientation distribution function (dODF) reconstructionin diffusion weighted MRI (DW-MRI). In the proposed approach,the sICA is employed to decompose a dODF initially estimatedby analytical QBI. The initial estimated dODF is considered as a mixedsignal containing noise, artifacts and the desired “true” ODF to be extractedby sICA. The results from the numerical simulation demonstratethat the proposed sICA framework not only successfully separate thedesired ODF from the noisy data, but also achieves better angular resolutionthan analytical QBI and spherical deconvolution (SD).

M3 - Conference contribution

SP - 174

EP - 183

BT - Unknown Host Publication

ER -