Title :
White matter integrity measured by fractional anisotropy correlates poorly with actual individual fiber anisotropy
Author :
Leow, Alex D. ; Zhan, Liang ; Zhu, Siwei ; Hageman, Nathan ; Chiang, Ming-Chang ; Barysheva, Marina ; Toga, Arthur W. ; McMahon, Katie L. ; De Zubicaray, Greig I. ; Wright, Margaret J. ; Thompson, Paul M.
Author_Institution :
Dept. of Neurology, UCLA, Los Angeles, CA, USA
fDate :
June 28 2009-July 1 2009
Abstract :
Fractional anisotropy (FA), a very widely used measure of fiber integrity based on diffusion tensor imaging (DTI), is a problematic concept as it is influenced by several quantities including the number of dominant fiber directions within each voxel, each fiber´s anisotropy, and partial volume effects from neighboring gray matter. High-angular resolution diffusion imaging (HARDI) can resolve more complex diffusion geometries than standard DTI, including fibers crossing or mixing. The tensor distribution function (TDF) can be used to reconstruct multiple underlying fibers per voxel, representing the diffusion profile as a probabilistic mixture of tensors. Here we found that DTI-derived mean diffusivity (MD) correlates well with actual individual fiber MD, but DTI-derived FA correlates poorly with actual individual fiber anisotropy, and may be sub-optimal when used to detect disease processes that affect myelination. Analysis of the TDFs revealed that almost 40% of voxels in the white matter had more than one dominant fiber present. To more accurately assess fiber integrity in these cases, we here propose the differential diffusivity (DD), which measures the average anisotropy based on all dominant directions in each voxel.
Keywords :
biomedical MRI; brain; eigenvalues and eigenfunctions; gradient methods; medical signal processing; DTI derived mean diffusivity; HARDI; diffusion profile; diffusion tensor imaging; dominant fiber directions; fiber crossing; fiber integrity; fiber mixing; fractional anisotropy; high angular resolution diffusion imaging; individual fiber anisotropy; partial volume effects; probabilistic tensor mixture; tensor distribution function; white matter integrity measurement; Anisotropic magnetoresistance; Diffusion tensor imaging; Diseases; Distribution functions; Geometry; High-resolution imaging; Image reconstruction; Image resolution; Tensile stress; Volume measurement; Diffusion tensor imaging; Fractional Anisotropy; High-Angular Resolution Diffusion Imaging;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193124