Spatial transformations of diffusion tensor magnetic resonance images Export

@article{DTI:PPD, abstract = {The authors address the problem of applying spatial transformations (or \“image warps\”) to diffusion tensor magnetic resonance images. The orientational information that these images contain must be handled appropriately when they are transformed spatially during image registration. The authors present solutions for global transformations of three-dimensional images up to 12-parameter affine complexity and indicate how their methods can be extended for higher order transformations. Several approaches are presented and tested using synthetic data. One method, the preservation of principal direction algorithm, which takes into account shearing, stretching and rigid rotation, is shown to be the most effective. Additional registration experiments are performed on human brain data obtained from a single subject, whose head was imaged in three different orientations within the scanner. All of the authors' methods improve the consistency between registered and target images over naive warping algorithms}, author = {Alexander, D. C. and Pierpaoli, C. and Basser, P. J. and Gee, J. C.}, citeulike-article-id = {576317}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/42.963816}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=963816}, doi = {10.1109/42.963816}, journal = {Medical Imaging, IEEE Transactions on}, keywords = {diffusion, dti, image, tensor, tractography}, number = {11}, pages = {1131--1139}, posted-at = {2008-09-10 14:35:25}, priority = {2}, title = {Spatial transformations of diffusion tensor magnetic resonance images}, url = {http://dx.doi.org/10.1109/42.963816}, volume = {20}, year = {2001} }

TY - JOUR ID - DTI:PPD L3 - citeulike-article-id:576317 N2 - The authors address the problem of applying spatial transformations (or “image warps”) to diffusion tensor magnetic resonance images. The orientational information that these images contain must be handled appropriately when they are transformed spatially during image registration. The authors present solutions for global transformations of three-dimensional images up to 12-parameter affine complexity and indicate how their methods can be extended for higher order transformations. Several approaches are presented and tested using synthetic data. One method, the preservation of principal direction algorithm, which takes into account shearing, stretching and rigid rotation, is shown to be the most effective. Additional registration experiments are performed on human brain data obtained from a single subject, whose head was imaged in three different orientations within the scanner. All of the authors' methods improve the consistency between registered and target images over naive warping algorithms IS - 11 JF - Medical Imaging, IEEE Transactions on EP - 1139 TI - Spatial transformations of diffusion tensor magnetic resonance images VL - 20 SP - 1131 KW - diffusion KW - dti KW - image KW - tensor KW - tractography AU - Alexander, DC AU - Pierpaoli, C AU - Basser, PJ AU - Gee, JC PY - 2001/// UR - http://dx.doi.org/10.1109/42.963816 ER -