Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter
| Autor: | Miloš Keřkovský, Marek Dostál, Monika Staňková, Vladan Bernard, Eva Němcová, Eva Korit′áková, Jakub Stulík |
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| Rok vydání: | 2018 |
| Předmět: |
business.industry
Coefficient of variation Repeatability Spinal cord 3. Good health 030218 nuclear medicine & medical imaging White matter 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Sørensen–Dice coefficient Fractional anisotropy medicine Radiology Nuclear Medicine and imaging Segmentation Nuclear medicine business 030217 neurology & neurosurgery Mathematics Diffusion MRI |
| Zdroj: | Journal of Magnetic Resonance Imaging. 48:1217-1227 |
| ISSN: | 1053-1807 |
| Popis: | BackgroundPurposeSegmentation of the gray and white matter (GM, WM) of the human spinal cord in MRI images as well as the analysis of spinal cord diffusivity are challenging. When appropriately segmented, diffusion tensor imaging (DTI) of the spinal cord might be beneficial in the diagnosis and prognosis of several diseases. To evaluate the applicability of a semiautomatic algorithm provided by ITK-SNAP in classification mode (CLASS) for segmenting cervical spinal cord GM, WM in MRI images and analyzing DTI parameters. Study TypeSubjectsProspective. Twenty healthy volunteers. SequencesAssessment1.5T, turbo spin echo, fast field echo, single-shot echo planar imaging. Three raters segmented the tissues by manual, CLASS, and atlas-based methods (Spinal Cord Toolbox, SCT) on T-2-weighted and DTI images. Masks were quantified by similarity and distance metrics, then analyzed for repeatability and mutual comparability. Masks created over T-2 images were registered into diffusion space and fractional anisotropy (FA) values were statistically evaluated for dependency on method, rater, or tissue. Statistical TestsResultst-test, analysis of variance (ANOVA), coefficient of variation, Dice coefficient, Hausdorff distance. CLASS segmentation reached better agreement with manual segmentation than did SCT (P |
| Databáze: | OpenAIRE |
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