DocumentCode :
1679064
Title :
High angular resolution diffusion image registration
Author :
Afzali, Maryam ; Fatemizadeh, Emad ; Soltanian-Zadeh, Hamid
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2013
Firstpage :
232
Lastpage :
236
Abstract :
Diffusion Tensor Imaging (DTI) is a common method for the investigation of brain white matter. In this method, it is assumed that diffusion of water molecules is Gaussian and so, it fails in fiber crossings where this assumption does not hold. High Angular Resolution Diffusion Imaging (HARDI) allows more accurate investigation of microstructures of the brain white matter; it can present fiber crossing in each voxel. HARDI contains complex orientation information of the fibers. Therefore, registration of these images is more complicated than the scalar images. In this paper, we propose a HARDI registration algorithm based on the feature vectors that are extracted from the Orientation Distribution Functions (ODFs) in each voxel. Hammer similarity measure is used to match the feature vectors and thin-plate spline (TPS) based registration is used for spatial registration of the skeleton and its neighbors. A re-orientation strategy is utilized to re-orient the ODFs after spatial registration. Finally, we evaluate our method based on the differences in principal diffusion direction and we will show that utilizing the skeleton as landmark in the registration results in accurate alignment of HARDI data.
Keywords :
biodiffusion; biomedical MRI; brain; feature extraction; image registration; image resolution; medical image processing; splines (mathematics); vectors; HARDI data; HARDI registration algorithm; Hammer similarity measure; ODF; brain white matter microstructures; complex orientation information; feature vector extraction; fiber crossings; high angular resolution diffusion image registration; orientation distribution functions; principal diffusion direction; reorientation strategy; skeleton; spatial registration; thin-plate spline based registration; Biomedical imaging; Distribution functions; Image resolution; Skeleton; Tensile stress; Vectors; Q-ball imaging; high angular resolution diffusion imaging (HARDI); orientation distribution function (ODF); principal diffusion direction (PDD); registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
Conference_Location :
Zanjan
ISSN :
2166-6776
Print_ISBN :
978-1-4673-6182-8
Type :
conf
DOI :
10.1109/IranianMVIP.2013.6779985
Filename :
6779985
Link To Document :
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