| A tracking-based diffusion tensor imaging segmentation method for the detection of diffusion-related changes of the cervical spinal cord with aging. | |
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MedLine Citation:
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PMID: 18425838 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: To compare region of interest (ROI)-based and diffusion tensor tractography (DTT)-based methods for evaluating diffusion properties of the spinal cord as a function of age. MATERIALS AND METHODS: Commonly, an ROI segmentation is used to delineate the spinal cord. In this work, new segmentation methods are developed based on DTT. In a first, DTT-based, segmentation approach, the diffusion properties are calculated on the tracts. In a second method, the diffusion properties are analyzed in the spinal cord voxels that contain a certain number of tracts. We studied the changes in diffusion properties of the human spinal cord in subjects of different ages. Diffusion tensor imaging (DTI) measurements of the cervical spinal cord were acquired on 42 healthy volunteers (age range = 19-87 years). The fractional anisotropy (FA), the mean diffusivity (MD), and eigenvalues (lambda(1), lambda(2), and lambda(3)) were compared for the ROI- and DTT-based segmentation methods. RESULTS: Our automatic techniques are shown to be highly reproducible and sensitive for detecting DTI changes. FA decreased (r = -0.38; P < 0.05), whereas MD and eigenvalues increased (r = +/- 0.45; P < 0.05) with age. These trends were not statistically significant for the ROI-based segmentation (P > 0.05). CONCLUSION: DTT is a robust and reproducible technique to segment the voxels of interest in the spinal cord. |
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Authors:
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Wim Van Hecke; Alexander Leemans; Jan Sijbers; Evert Vandervliet; Johan Van Goethem; Paul M Parizel |
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Publication Detail:
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Type: Comparative Study; Journal Article |
Journal Detail:
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Title: Journal of magnetic resonance imaging : JMRI Volume: 27 ISSN: 1053-1807 ISO Abbreviation: J Magn Reson Imaging Publication Date: 2008 May |
Date Detail:
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Created Date: 2008-04-28 Completed Date: 2008-08-26 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9105850 Medline TA: J Magn Reson Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 978-91 Citation Subset: IM |
Copyright Information:
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(c) 2008 Wiley-Liss, Inc. |
Affiliation:
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Visionlab, Department of Physics, University of Antwerp, Antwerp, Belgium. Wim.Vanhecke@ua.ac.be |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Aging / physiology* Artifacts Cervical Vertebrae Diffusion Magnetic Resonance Imaging / methods* Female Humans Male Middle Aged Reproducibility of Results Spinal Cord / anatomy & histology, physiology* |
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