Robust ODF smoothing for accurate estimation of fiber orientation

Beladi, Somaieh, Pathirana, Pubudu N. and Brotchie, Peter 2010, Robust ODF smoothing for accurate estimation of fiber orientation, in EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”, I E E E, Piscataway, N.J., pp. 2698-2701.

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Title Robust ODF smoothing for accurate estimation of fiber orientation
Author(s) Beladi, Somaieh
Pathirana, Pubudu N.
Brotchie, Peter
Conference name Annual International Conference of the IEEE Engineering in Medicine and Biology Society (32nd : 2010 : Buenos Aires, Argentina)
Conference location Buenos Aires, Argentina
Conference dates 31 Aug. - 4 Sep. 2010
Title of proceedings EMBC 2010 : Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Merging Medical Humanism and Technology”
Editor(s) [Unknown]
Publication date 2010
Conference series Institute of Electrical and Electronics Engineers Engineering in Medicine and Biology Society International Conference
Start page 2698
End page 2701
Total pages 4
Publisher I E E E
Place of publication Piscataway, N.J.
Summary Q-ball imaging was presented as a model free, linear and multimodal diffusion sensitive approach to reconstruct diffusion orientation distribution function (ODF) using diffusion weighted MRI data. The ODFs are widely used to estimate the fiber orientations. However, the smoothness constraint was proposed to achieve a balance between the angular resolution and noise stability for ODF constructs. Different regularization methods were proposed for this purpose. However, these methods are not robust and quite sensitive to the global regularization parameter. Although, numerical methods such as L-curve test are used to define a globally appropriate regularization parameter, it cannot serve as a universal value suitable for all regions of interest. This may result in over smoothing and potentially end up in neglecting an existing fiber population. In this paper, we propose to include an interpolation step prior to the spherical harmonic decomposition. This interpolation based approach is based on Delaunay triangulation provides a reliable, robust and accurate smoothing approach. This method is easy to implement and does not require other numerical methods to define the required parameters. Also, the fiber orientations estimated using this approach are more accurate compared to other common approaches.
ISBN 9781424441242
ISSN 1557-170X
Language eng
Field of Research 110999 Neurosciences not elsewhere classified
Socio Economic Objective 920199 Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2010
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30030393

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
School of Engineering
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