NDLI: Extended neighbourhood based linear reconstruction of Diffusion Kurtosis Imaging

Content Provider	IEEE Xplore Digital Library
Author	Raja, R. Sinha, N. Saini, J.
Copyright Year	2015
Description	Author affiliation: Nat. Inst. of Mental Health & Neuro Sci., Bangalore, India (Saini, J.) \|\| Int. Inst. of Inf. Technol., Bangalore, India (Raja, R.; Sinha, N.)
Abstract	Diffusion weighted magnetic resonance imaging(DW-MRI) is used for the quantification of water diffusion with the availability of various tensor based models such as Diffusion Tensor Imaging (DTI) and Diffusion Kurtosis Imaging (DKI). The increased significance of DKI parameters for the assessment of neurologic diseases as compared to DTI parameters has been shown in several recent studies. Kurtosis tensors were reconstructed using either linear or non-linear least squares approaches including several variants of these approaches. In this work, we proposed an extended linear least squares(LLS) reconstruction of DKI parameters which makes use of the correlation existing in the DW-MRI data in order to have a robust and accurate estimation of the kurtosis parameters. All the available methods of DKI reconstruction uses an independent voxel-wise estimation of the kurtosis parameters. The proposed method attempts to make use of the spatial correlation in DW-MRI by including the neighbourhood voxels for the estimation of kurtosis parameters voxel-wise. Our study includes simulation and real data experiments for validation of the proposed method. The estimation from the proposed method revealed better details and accuracy as compared to LLS and weighted LLS approaches. The proposed method is also robust to noise which is illustrated by using noise corrupted data for different levels of added rician noise.
Starting Page	1
Ending Page	6
File Size	776280
Page Count	6
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7372876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Estimation Image reconstruction Diffusion tensor imaging Correlation Robustness Least squares approximations Neighbourhood correlation Diffusion Weighted MRI Diffusion Tensor Imaging Diffusion Kurtosis Imaging Linear Least Squares Estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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