Literature DB >> 16963296

How accurately can the diffusion profiles indicate multiple fiber orientations? A study on general fiber crossings in diffusion MRI.

Wang Zhan1, Yihong Yang.   

Abstract

The q-space imaging techniques and high angular resolution diffusion (HARD) imaging have shown promise to identify intravoxel multiple fibers. The measured orientation distribution function (ODF) and apparent diffusion coefficient (ADC) profiles can be used to identify the orientations of the actual intravoxel fibers. The present study aims to examine the accuracy of these profile-based orientation methods by comparing the angular deviations between the estimated local maxima of the profiles and the real fiber orientation for a fiber crossing simulated with various intersection angles under different b values in diffusion-weighted MRI experiments. Both noisy and noise-free environments were investigated. The diffusion spectrum imaging (DSI), q-ball imaging (QBI), and HARD techniques were used to generate ODF and ADC profiles. To provide a better comparison between ODF and ADC techniques, the phase-corrected angular deviations were also presented for the ADC method based on a circular spectrum mapping method. The results indicate that systematic angular deviations exist between the actual fiber orientations and the corresponding local maxima of either the ADC or ODF profiles. All methods are apt to underestimation of acute intersection and overestimation of obtuse intersection angle. For a typical slow-exchange fiber crossing, the ODF methods have a non-deviation zone around the 90 degrees intersection. Before the phase-correction, the deviation of ADC profiles approaches a peak at the 90 degrees intersection, while after the correction the ADC deviations are significantly reduced. When the b factor is larger than 1000 s/mm2, the ODF methods have smaller angular deviations than the ADC methods for the intersections close to 90 degrees . QBI method demonstrates a slight yet consistent advantage over the DSI method under the same conditions. In the noisy environment, the mean value of the deviation angles shows a high consistency with the corresponding deviation in the nose-free condition.

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Year:  2006        PMID: 16963296     DOI: 10.1016/j.jmr.2006.08.005

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  18 in total

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8.  Adaptive kernels for multi-fiber reconstruction.

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9.  Linear transforms for Fourier data on the sphere: application to high angular resolution diffusion MRI of the brain.

Authors:  Justin P Haldar; Richard M Leahy
Journal:  Neuroimage       Date:  2013-01-24       Impact factor: 6.556

10.  Quantitative histological validation of diffusion MRI fiber orientation distributions in the rat brain.

Authors:  Trygve B Leergaard; Nathan S White; Alex de Crespigny; Ingeborg Bolstad; Helen D'Arceuil; Jan G Bjaalie; Anders M Dale
Journal:  PLoS One       Date:  2010-01-07       Impact factor: 3.240

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