Incorporating Independent Component Analysis to Q-Ball Imaging for Diffusion Orientation Distribution Reconstruction

Min Jing, TM McGinnity, SA Coleman, Huaizhong Zhang

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

2 Citations (Scopus)

Abstract

In this paper, we investigate the incorporation of in-dependent component analysis (ICA) with Q-ball imaging (QBI)to extract information on the diffusion orientation distributionfunction (ODF) from an inner voxel. In our approach, the ICAalgorithm is applied to a mixture of ODFs which are constructedbased on the analytical QBI solution. The numerical simulationresults demonstrate that the proposed ICA framework can notonly successfully separate the diffusion ODF from the noisydiffusion data, but also achieves better performance comparedwith a QBI solution when the data has a low signal to noise ratio (SNR).
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages2706-2709
Number of pages4
ISBN (Print)1557-170X
DOIs
Publication statusPublished - 31 Aug 2010
Event32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Buenos Aires, Argentina
Duration: 31 Aug 2010 → …

Conference

Conference32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Period31/08/10 → …

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