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8                                  SALMINEN ET AL.



      the fiber due to fiber walls that act as barriers (80). In     The majority of work utilizing DTI has focused
      these tissues, water diffusion is anisotropic (i.e., varies   on white matter integrity, as changes in white matter
      along different directions). Water molecules in pure   microstructure can be readily delineated using DTI
      water do not encounter barriers and travel quickly   metrics. White matter primarily consists of myelin-
      and equally in all directions (isotropic diffusion). For   ated and unmyelinated axon fibers that restrict water
      tissue that is generally isotropic (e.g., gray matter and   movement in directions perpendicular to the fibers,
      CSF), water molecules follow a random pattern of   thus increasing anisotropy (56). Damage to axons
      motion, and the signal loss is not dependent on the   and/or the myelin sheath reduces anisotropy and
      direction of the diffusion-encoding gradient. In these   increases the rate of diffusion in directions perpendic-
      tissues, a single scalar D is sufficient to characterize   ular to the fibers, which is a common result of aging
      diffusion (26). By contrast, the signal loss in anisotro-  and disease (4,56,82). DTI can also be used to evaluate
      pic tissue (e.g., white matter) strongly depends on the   changes in gray matter microstructure, though the
      direction of white matter fibers and the diffusion-en-  biological interpretation of gray matter diffusion is
      coding gradients, which complicate interpretation of   less clear than in white matter due to the high level
      DWI contrast. Thus, the directionally-averaged D (or   of isotropic diffusion that is evident in normal-ap-
      mean diffusivity (MD) image) is often calculated in   pearing gray matter (4,28). Increases in gray matter
      clinical practice, which is the average of the computed   diffusion have been reported in previous studies of
      D images obtained from the orthogonal encoding   aging (59,68,75,76), yet the mechanisms underlying
      directions. Sometimes the average DWI or isotropic   these changes have not been fully delineated.
      DWI (DWI iso) is also shown, which is the geometric     Fractional anisotropy (FA) and MD are traditional
      mean of the corresponding DWIs. In both MD and   DTI scalar metrics that measure diffusion processes
      DWI iso, the effects of white matter fiber direction have   by quantifying the degree of directionality of water
      been removed. For a more complete description of the   diffusion and the directionally-averaged rate of wa-
      directional motion of water molecules in anisotropic   ter movement within an image voxel, respectively
      tissues, a diffusion tensor is required (9,10,19).   (15). Damage to cellular microstructure (e.g., axon
                                                    degeneration, myelin loss, etc.) alters the movements
      DIFFUSION TENSOR IMAGING                      of water molecules and typically results in increased
        Derivation of the diffusion tensor from the DWIs   MD and decreased FA (3). Axial diffusivity (AD) and
      allows for the quantification of water diffusion in   radial diffusivity (RD) are additional DTI metrics
      living brain tissue, thus providing information about   that measure water diffusion that occurs parallel and
      the underlying tissue microstructure. The diffusion   perpendicular to axon fibers (60). Increased RD and
      tensor characterizes the three-dimensional spread   decreased AD are believed to reflect reduced integ-
      of diffusing water molecules from a point source   rity as a result of demyelination, axon damage, fiber
      using three-dimensional ellipsoids. Various biological   rarefaction, and/or gliosis (11).
      factors influence the shape of the diffusion ellipsoid,
      including the microstructural composition of human   TECHNICAL LIMITATIONS OF DTI
      brain tissue. DTI scan protocols require the applica-    Numerous factors influence accuracy and preci-
      tion of at least six non-collinear diffusion-encoding   sion of DTI data, including imperfections in scanner
      gradients and a reference image (typically a b~0 im-  hardware (e.g., RF coil, magnetic field gradients),
      age) to capture the full extent of directional water   selection of operator controlled parameters (e.g.,
      mobility in anisotropic tissue voxels (an anisotropic   pulse sequence, number of acquisitions, number of
      tissue voxel is a voxel that is, for example, 2x2x5mm   diffusion-encoding gradients), and patient variables
      in dimensions) (19,63). Modern research scan proto-  (e.g., motion) (55). As a result, quality control (QC)
      cols tend to utilize many more directions (up to 64)   of imaging data is critical for obtaining accurate
      to increase the sensitivity of the signal and improve   DTI measurements. Various QC procedures can be
      measurement accuracy (35).                    implemented to minimize errors from multiple sources,
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