DocumentCode :
2522168
Title :
POSTPROCESSING OF BRAIN WHITE MATTER FIBER ORIENTATION DISTRIBUTION FUNCTIONS
Author :
Delputte, Steven ; Dierckx, Hans ; Fieremans, Els ; Asseler, Yves D. ; Achten, Rik ; Lemahieu, Ignace
Author_Institution :
Dept. of Electron. & Inf. Syst., Ghent Univ.
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
784
Lastpage :
787
Abstract :
By acquiring high angular resolution diffusion weighted magnetic resonance images (HARDI), Q-ball analysis can disclose the 3D organization of fibrous tissue such as the brain white matter. The resulting orientation distribution functions (ODFs) typically contain a lot of noise. Therefore we here present an ODF noise filtering technique as well as a regularization algorithm. In order to facilitate efficient fiber tractography (the 3D reconstruction of axonal fasciculi) a data reduction scheme was developed that extracts the most important fiber directions together with an estimate of their uncertainty as well as 2 new scale invariant white matter characteristics. We also present a new framework, with proof of concept, for fully ODF-based local clustering of major fiber tracts, based on matching neighbouring voxels using symmetric criteria.
Keywords :
biodiffusion; biomedical MRI; brain; optical fibres; 3D reconstruction; ODF noise filtering; ODF-based local clustering; Q-ball analysis; axonal fasciculi; brain white matter; fiber orientation distribution functions; fiber tractography; high angular resolution diffusion weighted magnetic resonance images; regularization algorithm; Data mining; Distribution functions; Filtering algorithms; Image analysis; Image reconstruction; Image resolution; Magnetic analysis; Magnetic noise; Magnetic resonance; Magnetic separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.356969
Filename :
4193403
Link To Document :
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