Paper Info
Title
Enhancement of fiber orientation distribution reconstruction in diffusion-weighted imaging by single channel blind source separation.
Abstract
In diffusion-weighted imaging (DWI), reliable fiber tracking results rely on the accurate reconstruction of the fiber orientation distribution function (fODF) in each individual voxel. For high angular resolution diffusion imaging (HARDI), deconvolution-based approaches can reconstruct the complex fODF and have advantages in terms of computational efficiency and no need to estimate the number of distinct fiber populations. However, HARDI-based methods usually require relatively high b-values and a large number of gradient directions to produce good results. Such requirements are not always easy to meet in common clinical studies due to limitations in MRI facilities. Moreover, most of these approaches are sensitive to noise. In this study, we propose a new framework to enhance the performance of the spherical deconvolution (SD) approach in low angular resolution DWI by employing a single channel blind source separation (BSS) technique to decompose the fODF initially estimated by SD such that the desired fODF can be extracted from the noisy background. The results based on numerical simulations and two phantom datasets demonstrate that the proposed method achieves better performance than SD in terms of robustness to noise and variation in b-values. In addition, the results show that the proposed method has the potential to be applied to low angular resolution DWI which is commonly used in clinical studies.
Year
DOI
Venue
2012
10.1109/TBME.2011.2172793
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
single channel blind source separation,spherical deconvolution,biodiffusion,low angular resolution dwi,mri,phantom datasets,fodf reconstruction,spherical deconvolution approach,deconvolution,source separation,deconvolution-based approaches,enhance performance,image reconstruction,relatively high b-values,biomedical mri,reliable fiber tracking,angular resolution diffusion imaging,numerical simulation,single channel blind source separation technique,fiber orientation distribution function,noisy background,fiber orientation distribution reconstruction enhancement,image enhancement,phantoms,diffusion-weighted imaging,medical image processing,diffusion weighted imaging,blind source separation,noise,imaging
Iterative reconstruction,Voxel,Computer vision,Computer science,Imaging phantom,Deconvolution,Robustness (computer science),Angular resolution,Artificial intelligence,Blind signal separation,Source separation
Journal
Volume
Issue
ISSN
59
2
1558-2531
Citations 
PageRank 
References 
4
0.41
18
Authors
6
Name
Order
Citations
PageRank
Min Jing1143.09
T. Martin Mcginnity251866.30
Sonya Coleman321636.84
Huaizhong Zhang4123.28
Armin Fuchs57610.05
J A Scott Kelso6224.45