Automated fiber tracking of human brain white matter using diffusion tensor imaging. Export

@article{DTI:Atlas, abstract = {Reconstruction of white matter tracts based on diffusion tensor imaging (DTI) is currently widely used in clinical research. This reconstruction allows us to identify coordinates of specific white matter tracts and to investigate their anatomy. Fiber reconstruction, however, relies on manual identification of anatomical landmarks of a tract of interest, which is based on subjective judgment and thus a potential source of experimental variability. Here, an automated tract reconstruction approach is introduced. A set of reference regions of interest (rROIs) known to select a tract of interest was marked in our DTI brain atlas. The atlas was then linearly transformed to each subject, and the rROI set was transferred to the subject for tract reconstruction. Agreement between the automated and manual approaches was measured for 11 tracts in 10 healthy volunteers and found to be excellent (kappa>0.8) and remained high up to 4-5 mm of the linear transformation errors. As a first example, the automated approach was applied to brain tumor patients and strategies to cope with severe anatomical abnormalities are discussed.}, address = {The Russell H. Morgan Department of Radiology and Radiological Science, Division of MRI Research, Neurosection, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.}, author = {Zhang, W. and Olivi, A. and Hertig, S. J. and van Zijl, P. and Mori, S.}, citeulike-article-id = {3224540}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neuroimage.2008.04.241}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18554930}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18554930}, day = {15}, doi = {10.1016/j.neuroimage.2008.04.241}, issn = {1095-9572}, journal = {NeuroImage}, keywords = {algorithm, atlas, diffusion, dti, fiber, image, tensor, tractography}, month = {August}, number = {2}, pages = {771--777}, posted-at = {2008-09-11 08:13:10}, priority = {2}, title = {Automated fiber tracking of human brain white matter using diffusion tensor imaging.}, url = {http://dx.doi.org/10.1016/j.neuroimage.2008.04.241}, volume = {42}, year = {2008} }

TY - JOUR ID - DTI:Atlas L3 - citeulike-article-id:3224540 N2 - Reconstruction of white matter tracts based on diffusion tensor imaging (DTI) is currently widely used in clinical research. This reconstruction allows us to identify coordinates of specific white matter tracts and to investigate their anatomy. Fiber reconstruction, however, relies on manual identification of anatomical landmarks of a tract of interest, which is based on subjective judgment and thus a potential source of experimental variability. Here, an automated tract reconstruction approach is introduced. A set of reference regions of interest (rROIs) known to select a tract of interest was marked in our DTI brain atlas. The atlas was then linearly transformed to each subject, and the rROI set was transferred to the subject for tract reconstruction. Agreement between the automated and manual approaches was measured for 11 tracts in 10 healthy volunteers and found to be excellent (kappa>0.8) and remained high up to 4-5 mm of the linear transformation errors. As a first example, the automated approach was applied to brain tumor patients and strategies to cope with severe anatomical abnormalities are discussed. IS - 2 JF - NeuroImage SN - 1095-9572 AD - The Russell H. Morgan Department of Radiology and Radiological Science, Division of MRI Research, Neurosection, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. EP - 777 TI - Automated fiber tracking of human brain white matter using diffusion tensor imaging. VL - 42 SP - 771 KW - algorithm KW - atlas KW - diffusion KW - dti KW - fiber KW - image KW - tensor KW - tractography AU - Zhang, W AU - Olivi, A AU - Hertig, SJ AU - van Zijl, P AU - Mori, S PY - 2008/08/15/ UR - http://dx.doi.org/10.1016/j.neuroimage.2008.04.241 ER -