Magnetic Resonance in Medicine 51:321–330 (2004) Biexponential Diffusion Tensor Analysis of Human Brain Diffusion Data

Several studies have shown that in tissues over an extended range of b‐factors, the signal decay deviates significantly from the basic monoexponential model. The true nature of this departure has to date not been identified. For the current study, line scan diffusion images of brain suitable for biexponential diffusion tensor analysis were acquired in normal subjects on a clinical MR system. For each of six noncollinear directions, 32 images with b‐factors ranging from 5 to 5000 s/mm2 were collected. Biexponential fits yielded parameter maps for a fast and a slow diffusion component. A subset of the diffusion data, consisting of the images obtained at the conventional range of b‐factors between 5 and 972 s/mm2, was used for monoexponential diffusion tensor analysis. Fractional anisotropy (FA) of the fast‐diffusion component and the monoexponential fit exhibited no significant difference. FA of the slow‐diffusion biexponential component was significantly higher, particularly in areas of lower fiber density. The principal diffusion directions for the two biexponential components and the monoexponential solution were largely the same and in agreement with known fiber tracts. The second and third diffusion eigenvector directions also appeared to be aligned, but they exhibited significant deviations in localized areas. Magn Reson Med 51:321–330, 2004. © 2004 Wiley‐Liss, Inc.

[1]  Jörg Kärger,et al.  Principles and Application of Self-Diffusion Measurements by Nuclear Magnetic Resonance , 1988 .

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

[3]  A. MacKay,et al.  In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.

[4]  S. Maier,et al.  Line scan diffusion imaging , 1996, Magnetic resonance in medicine.

[5]  D. Norris,et al.  Biexponential diffusion attenuation in various states of brain tissue: Implications for diffusion‐weighted imaging , 1996, Magnetic resonance in medicine.

[6]  S. Maier,et al.  Line scan diffusion imaging: characterization in healthy subjects and stroke patients. , 1998, AJR. American journal of roentgenology.

[7]  John Forder,et al.  Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging. , 1998, American journal of physiology. Heart and circulatory physiology.

[8]  C. Henriquez,et al.  Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation. , 1998, American journal of physiology. Heart and circulatory physiology.

[9]  M. I. Smith,et al.  A study of rotationally invariant and symmetric indices of diffusion anisotropy. , 1999, Magnetic resonance imaging.

[10]  C. Westin,et al.  Multi‐component apparent diffusion coefficients in human brain † , 1999, NMR in biomedicine.

[11]  K. Zou,et al.  Multi‐component apparent diffusion coefficients in human brain: Relationship to spin‐lattice relaxation , 2000, Magnetic resonance in medicine.

[12]  Y. Cohen,et al.  Assignment of the water slow‐diffusing component in the central nervous system using q‐space diffusion MRS: Implications for fiber tract imaging , 2000, Magnetic resonance in medicine.

[13]  D. Le Bihan,et al.  Water diffusion compartmentation and anisotropy at high b values in the human brain , 2000, Magnetic resonance in medicine.

[14]  Ron Kikinis,et al.  MS # 00195 − 01 High − Resolution Line − Scan Diffusion − Tensor MRI of White Matter Fiber Tract Anatomy , 2001 .

[15]  D L Buckley,et al.  Two‐component diffusion tensor MRI of isolated perfused hearts , 2001, Magnetic resonance in medicine.

[16]  Ching-Po Lin,et al.  Validation of Diffusion Tensor Magnetic Resonance Axonal Fiber Imaging with Registered Manganese-Enhanced Optic Tracts , 2001, NeuroImage.

[17]  D L Buckley,et al.  Visualization of neural tissue water compartments using biexponential diffusion tensor MRI , 2001, Magnetic resonance in medicine.

[18]  S. Maier,et al.  Normal brain and brain tumor: multicomponent apparent diffusion coefficient line scan imaging. , 2001, Radiology.

[19]  R V Mulkern,et al.  Biexponential apparent diffusion coefficient parametrization in adult vs newborn brain. , 2001, Magnetic resonance imaging.

[20]  T. Hendler,et al.  High b‐value q‐space analyzed diffusion‐weighted MRI: Application to multiple sclerosis , 2002, Magnetic resonance in medicine.

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

[22]  Carl-Fredrik Westin,et al.  High-resolution line scan diffusion tensor MR imaging of white matter fiber tract anatomy. , 2002, AJNR. American journal of neuroradiology.

[23]  M. Hedehus,et al.  In vivo mapping of the fast and slow diffusion tensors in human brain , 2002, Magnetic resonance in medicine.

[24]  I. Elshafiey,et al.  In vivo diffusion tensor imaging of rat spinal cord at 7 T. , 2002, Magnetic resonance imaging.

[25]  Dmitriy A Yablonskiy,et al.  Effects of restricted diffusion on MR signal formation. , 2002, Journal of magnetic resonance.

[26]  Timothy G Reese,et al.  Diffusion tensor MRI of myocardial fibers and sheets: Correspondence with visible cut‐face texture , 2003, Journal of magnetic resonance imaging : JMRI.

[27]  Biexponential Analysis of Diffusion Related Signal Decay in Human Cortical Grey Matter , 2003 .

[28]  Stephan E Maier,et al.  Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  Stephan E Maier,et al.  Characterization of normal brain and brain tumor pathology by chisquares parameter maps of diffusion-weighted image data. , 2003, European journal of radiology.