Image contrast using the secondary and tertiary eigenvectors in diffusion tensor imaging

Diffusion tensor imaging (DTI) is a new imaging modality that can provide unique information on brain white matter anatomy. Measurements of water diffusion constant along multiple axes are fitted to a tensor model, from which the diffusion anisotropy and dominant fiber orientation can be estimated. Even though the tensor model is an oversimplification of the underlying neuroanatomy, information within the tensor has not been fully utilized in routine research and clinical studies. In this study we proposed and examined the properties and anatomical contents of several DTI‐derived image contrasts that utilize all three eigenvectors. The new contrasts are studied and validated using known anatomical structures in ex vivo mouse brain and embryonic mouse cortex. Application to human white matter is illustrated. Our results suggest that when these contrasts are combined with a priori anatomical knowledge, they reveal neuroanatomical information that is useful for tissue segmentation and diagnosis of white matter lesions. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.

[1]  G. Paxinos.  The Rat nervous system , 1985 .

[2]  D. Parker,et al.  A geometric analysis of diffusion tensor measurements of the human brain , 2000, Magnetic resonance in medicine.

[3]  M. Herrero,et al.  Functional anatomy of thalamus and basal ganglia , 2002, Child’s Nervous System.

[4]  Derek K. Jones,et al.  The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study † , 2004, Magnetic resonance in medicine.

[5]  J. Tsuruda,et al.  Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system. , 1990, Radiology.

[6]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

[7]  V. Wedeen,et al.  Mapping fiber orientation spectra in cerebral white matter with Fourier-transform diffusion MRI , 2000 .

[8]  Alan Leviton,et al.  Is Periventricular Leukomalacia an Axonopathy as Well as an Oligopathy? , 2001, Pediatric Research.

[9]  V. Wedeen,et al.  Diffusion MRI of Complex Neural Architecture , 2003, Neuron.

[10]  V. Wedeen,et al.  Fiber crossing in human brain depicted with diffusion tensor MR imaging. , 2000, Radiology.

[11]  C. Beaulieu,et al.  Water diffusion in the giant axon of the squid: Implications for diffusion‐weighted MRI of the nervous system , 1994, Magnetic resonance in medicine.

[12]  N. Makris,et al.  High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity , 2002, Magnetic resonance in medicine.

[13]  P. Basser,et al.  Water Diffusion Changes in Wallerian Degeneration and Their Dependence on White Matter Architecture , 2000 .

[14]  P. Basser,et al.  Estimation of the effective self-diffusion tensor from the NMR spin echo. , 1994, Journal of magnetic resonance. Series B.

[15]  M. Solaiyappan,et al.  Diffusion tensor imaging of the developing mouse brain , 2001, Magnetic resonance in medicine.

[16]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[17]  C. Beaulieu,et al.  Determinants of anisotropic water diffusion in nerves , 1994, Magnetic resonance in medicine.

[18]  P. Basser,et al.  Statistical artifacts in diffusion tensor MRI (DT‐MRI) caused by background noise , 2000, Magnetic resonance in medicine.

[19]  T. L. Davis,et al.  Morphometry of in vivo human white matter association pathways with diffusion‐weighted magnetic resonance imaging , 1997, Annals of neurology.

[20]  A. Anderson.  Theoretical analysis of the effects of noise on diffusion tensor imaging , 2001, Magnetic resonance in medicine.

[21]  H. Mamata,et al.  Visualization of Collateral Nerve Fibers of Human Cervical Spinal Cord : Direct Histologic Validation of Diffusion Tensor Imaging , 2002 .

[22]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[23]  Carl-Fredrik Westin,et al.  Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..

[24]  41-50 , 1817, Gotthold Ephraim Lessings Briefwechsel mit seinem Bruder Karl Gotthelf Lessing.

[25]  L. Frank.  Anisotropy in high angular resolution diffusion‐weighted MRI , 2001, Magnetic resonance in medicine.

[26]  M. Marín‐Padilla,et al.  Neocortical Development , 1992, Journal of Cognitive Neuroscience.

[27]  Sinisa Pajevic,et al.  Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: Application to white matter fiber tract mapping in the human brain , 1999, Magnetic resonance in medicine.

[28]  L. Frank.  Characterization of anisotropy in high angular resolution diffusion‐weighted MRI , 2002, Magnetic resonance in medicine.

[29]  Hao Huang,et al.  Three-dimensional anatomical characterization of the developing mouse brain by diffusion tensor microimaging , 2003, NeuroImage.

[30]  M. Bastin,et al.  Visualization and analysis of white matter structural asymmetry in diffusion tensor MRI data , 2004, Magnetic resonance in medicine.

[31]  P. V. van Zijl,et al.  A motion correction scheme by twin‐echo navigation for diffusion‐weighted magnetic resonance imaging with multiple RF echo acquisition , 1998, Magnetic resonance in medicine.

[32]  M. Bronskill,et al.  Anisotropy of NMR properties of tissues , 1994, Magnetic resonance in medicine.

[33]  Derek K. Jones,et al.  Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI , 2003, Magnetic resonance in medicine.

[34]  A. Szafer,et al.  An analytical model of restricted diffusion in bovine optic nerve , 1997, Magnetic resonance in medicine.