A Comparative Study of Different Level Interpolations for Improving Spatial Resolution in Diffusion Tensor Imaging

Feng Yang, Yue-Min Zhu, Jian-Hua Luo, Marc Robini, Jie Liu, Pierre Croisille
2014 IEEE journal of biomedical and health informatics  
This paper studies and evaluates the feasibility and the performance of different level interpolations for improving spatial resolution of diffusion tensor magnetic resonance imaging (DT-MRI or DTI). In particular, the following techniques are investigated: anisotropic interpolation operating on scalar gray-level images, log-Euclidean interpolation method, and the quaternion interpolation method, which operate on diffusion tensor fields. The performance is evaluated both qualitatively and
more » ... itatively and quantitatively using criteria such as tensor determinant, fractional anisotropy (FA), mean diffusivity (MD), fiber length, etc. We conclude that tensor field interpolations allow avoiding undesirable swelling effect in DTI, which is not the case with scalar gray-level interpolation, and that scalar gray-level image interpolation and log-Euclidean tensor field interpolation suffer from decrease in FA and MD, which may mislead the interpretation of the clinical parameters FA and MD. In contrast, the quaternion tensor field interpolation avoids such FA and MD decrease, which suggests its use for clinical applications. Index Terms-Diffusion tensor imaging, diffusion-weighted (DW) image, fiber tractography, interpolation, magnetic resonance imaging (MRI), tensor field interpolation.
doi:10.1109/jbhi.2014.2306937 pmid:25014936 fatcat:7cjtoi2z5jab3fohlwcbc7jjda