DocumentCode :
1394130
Title :
Diffeomorphic Image Registration of Diffusion MRI Using Spherical Harmonics
Author :
Geng, Xiujuan ; Ross, Thomas J. ; Gu, Hong ; Shin, Wanyong ; Zhan, Wang ; Chao, Yi-Ping ; Lin, Ching-Po ; Schuff, Norbert ; Yang, Yihong
Author_Institution :
Intramural Res. Program, Nat. Institutes of Health, Baltimore, MD, USA
Volume :
30
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
747
Lastpage :
758
Abstract :
Nonrigid registration of diffusion magnetic resonance imaging (MRI) is crucial for group analyses and building white matter and fiber tract atlases. Most current diffusion MRI registration techniques are limited to the alignment of diffusion tensor imaging (DTI) data. We propose a novel diffeomorphic registration method for high angular resolution diffusion images by mapping their orientation distribution functions (ODFs). ODFs can be reconstructed using q-ball imaging (QBI) techniques and represented by spherical harmonics (SHs) to resolve intra-voxel fiber crossings. The registration is based on optimizing a diffeomorphic demons cost function. Unlike scalar images, deforming ODF maps requires ODF reorientation to maintain its consistency with the local fiber orientations. Our method simultaneously reorients the ODFs by computing a Wigner rotation matrix at each voxel, and applies it to the SH coefficients during registration. Rotation of the coefficients avoids the estimation of principal directions, which has no analytical solution and is time consuming. The proposed method was validated on both simulated and real data sets with various metrics, which include the distance between the estimated and simulated transformation fields, the standard deviation of the general fractional anisotropy and the directional consistency of the deformed and reference images. The registration performance using SHs with different maximum orders were compared using these metrics. Results show that the diffeomorphic registration improved the affine alignment, and registration using SHs with higher order SHs further improved the registration accuracy by reducing the shape difference and improving the directional consistency of the registered and reference ODF maps.
Keywords :
biological tissues; biomedical MRI; image registration; medical image processing; Wigner rotation matrix; diffeomorphic image registration; diffusion MRI; diffusion magnetic resonance imaging; diffusion tensor imaging; fiber tract atlas; intravoxel fiber crossings; nonrigid registration; orientation distribution functions; q-ball imaging technique; spherical harmonics; white matter atlas; Diffusion tensor imaging; Harmonic analysis; Jacobian matrices; Measurement; Shape; Diffeomorphisms; ODF reorientation; diffusion magnetic resonance imaging (MRI); orientation distribution function (ODF); registration; spherical harmonics; Algorithms; Artificial Intelligence; Brain; Diffusion Magnetic Resonance Imaging; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2010.2095027
Filename :
5657259
Link To Document :
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