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@article{1675318, author = {Dostál, Marek and Keřkovský, Miloš and Staffa, Erik and Bednařík, Josef and ŠprlákováandPuková, Andrea and Mechl, Marek}, article_location = {New York}, article_number = {NOV 2020}, doi = {http://dx.doi.org/10.1016/j.mri.2020.07.008}, keywords = {Diffusion tensor imaging; Spinal cord; Voxelwise analysis}, language = {eng}, issn = {0730-725X}, journal = {Magnetic Resonance Imaging}, title = {Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics}, url = {https://www.sciencedirect.com/science/article/pii/S0730725X20302678}, volume = {73}, year = {2020} }
TY - JOUR ID - 1675318 AU - Dostál, Marek - Keřkovský, Miloš - Staffa, Erik - Bednařík, Josef - Šprláková-Puková, Andrea - Mechl, Marek PY - 2020 TI - Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics JF - Magnetic Resonance Imaging VL - 73 IS - NOV 2020 SP - 23-30 EP - 23-30 PB - Society of Magnetic Resonance SN - 0730725X KW - Diffusion tensor imaging KW - Spinal cord KW - Voxelwise analysis UR - https://www.sciencedirect.com/science/article/pii/S0730725X20302678 L2 - https://www.sciencedirect.com/science/article/pii/S0730725X20302678 N2 - Robust voxelwise analysis using tract-based spatial statistics (TBSS) together with permutation statistical method is standardly used in analyzing diffusion tensor imaging (DTI) of brain. A similar analytical method could be useful when studying DTI of cervical spinal cord. Based on anatomical data of sixty-four healthy volunteers, white (WM) and gray matter (GM) masks were created and subsequently registered into DTI space. Using TBSS, two skeleton types were created (single line and dilated for WM as well as GM). From anatomical data, percentage rates of overlap were calculated for all skeletons in relation to WM and GM masks. Voxelwise analysis of fractional anisotropy values depending on age and sex was conducted. Correlation of fraction anisotropy values with age of subjects was also evaluated. The two WM skeleton types showed a high overlap rate with WM masks (similar to 94%); GM skeletons showed lower rates (56% and 42%, respectively, for single line and dilated). WM and GM areas where fraction anisotropy values differ between sexes were identified (p < .05). Furthermore, using voxelwise analysis such WM voxels were identified where fraction anisotropy values differ depending on age (p < .05) and in these voxels linear dependence of fraction anisotropy and age (r = - 0.57, p < .001) was confirmed by regression analysis. This dependence was not proven when using WM anatomical masks (r = -0.21, p = .10). The analytical approach presented shown to be useful for group analysis of DTI data for cervical spinal cord. ER -
DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Erik STAFFA, Josef BEDNAŘÍK, Andrea ŠPRLÁKOVÁ-PUKOVÁ and Marek MECHL. Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics. \textit{Magnetic Resonance Imaging}. New York: Society of Magnetic Resonance, 2020, vol.~73, NOV 2020, p.~23-30. ISSN~0730-725X. Available from: https://dx.doi.org/10.1016/j.mri.2020.07.008.
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