title: Diffusion tensor image up-sampling: a registration-based approach.
abstract: Diffusion weighted images (DWI), from which the corresponding diffusion tensor images (DTI) are estimated, are commonly acquired with anisotropic discretizations. Traditional methods to up-sample diffusion weighted images generally rely on scene-based interpolation and do not exploit structural information from the images. In this study, a DTI up-sampling framework is presented that incorporates the underlying anatomical shape information by means of non-rigid inter-slice registration. A strategy is proposed to reorient the interpolated tensor in order to maintain its proper orientation. Tests on phantom as well as on real data sets show that the proposed method is able to produce better results compared to scene based interpolation methods in terms of the accuracy of DWI/DTI interpolation, especially when diffusion tensor orientation is taken into account.
authors.affiliation: IBBT-VisionLab, Department of Physics, Universiteit Antwerpen, Antwerpen, Wilrijk, 2610, Belgium. zhenhua.mai@ua.ac.be
authors.forename: Zhenhua
authors.initials: Z
authors.lastname: Mai
authors.forename: Marleen
authors.initials: M
authors.lastname: Verhoye
authors.forename: Annemie
authors.initials: A
authors.lastname: Van der Linden
authors.forename: Jan
authors.initials: J
authors.lastname: Sijbers
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D018401:Sample Size; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique